career placement - american statistical association · joint statistical meetings 2011 5 the jsm...

Joint Statistical Meetings 2011 5

The JSM Career Placement Service is an onsite recruiting facility for employers and job-seekers. Hundreds of qualified applicants look to the place-ment service each year to begin or further their career in statistics.

Career Placement

ApplicantsAll applicants will receive onsite access to the Career Placement Service, online access to job postings beginning June 1, and access to the onsite message center to contact employers of interest. Wherever there is Internet access, you can check and send messages and arrange an interview. Employers often contact applicants in advance of JSM to set up an onsite interview.

Pre-Registration Onsite RegistrationApril 28–July 13 July 30–August 4

ASA Member Nonmember ASA Member Nonmember

Student $55 $85 $80 $110

Nonstudent $115 $175 $125 $200

Go to www.amstat.org/meetings/jsm/2011 and select the Placement tab. Begin your job search on June 1!

Employers All employers receive up to five distinct job postings, available to all registered applicants; onsite access to printed books of applicant data and résumés (for up to three representa-tives); and onsite access to interview space, available by reservation for up to four hours per day.

Online applicant access from June 1 to September 30 allows you to narrow the applicant pool to your criteria when it’s convenient for you.

Executive SuitesHave the freedom to schedule interviews without needing to reserve space by registering for an executive suite. You will re-ceive a private, fully furnished booth with a computer and printer, 10 distinct online job postings, onsite access for up to five representatives and three guests from your organization, and special recognition online and onsite.

Pre-Registration Onsite RegistrationApril 28–July 13 July 31–August 4

ASA Corporate Member Nonmember ASA Corporate

Member Nonmember

Executive Suite $2,750 $3,000 $2,750 $3,000

General Registration with Online

Applicant Access $1,000 $1,250 $1,100 $1,350

Applicant Access Only-Not Interview-

ing Onsite* $750 $1,000 $750 $1,000

Employer Fees

Applicant Fees (in addition to JSM registration fees)

*Applicant Access Only – Not Interviewing Onsite is intended for employers who are unable to attend JSM and does not include onsite access to the placement service. In consideration of our Registered Employers, this access is granted post-JSM, beginning on August 5 and ending on September 30.

NEW THIS YEAR: Virtual Message Center AccessAccess the JSM Career Placement Service Message Center from anywhere! Employers and applicants will be able to communi-cate and arrange interviews anywhere there is Internet access. No need to come to the onsite placement service to check or send messages; just come for your scheduled interviews!

6 Registration Guide 2011

Speakers with Lunch and A.M. and P.M. Roundtable Discussions

Speakers with LunchIf listening to a fascinating talk while having lunch with friends and colleagues sounds good to you, sign up for one of the speakers with lunch events. These lunches also offer great discussion and networking opportunities.

A.M. and P.M. Round-table DiscussionsFor great discussion and a net-working event that doesn’t bust your wallet, register for an A.M. roundtable discussion, offered Monday through Wednesday from 7:00 a.m. – 8:15 a.m. Tickets are just $15.

If early morning isn’t your style, P.M. roundtables also offer great discussion and net-working opportunities and are held Monday through Wednes-day from 12:30 p.m. – 1:50 p.m. Tickets are $40.

Don’t forget to sign up for one (or more) of these opportunities when you fill out the registration form at the back of this guide.

Tickets for these events will be sold onsite until 2 p.m. the day before the occasion is sched-uled. Kosher and heart healthy meals are only available for those who pre-register for JSM and purchase tickets at that time. Regular and vegetarian meals will be available for those who purchase tickets onsite.


Continental Breakfast Menu: Assorted Danish (crumb/cheese/apple/cher-ry/blueberry), miniature plain croissants, freshly brewed regular and decaf-feinated coffee, and tea

Fee: $15 each (includes continental breakfast)

Roundtable Discussions Monday, August 1, 20117:00 a.m.–8:15 a.m.

A.M.Section on Bayesian Statistical ScienceML0121st-Century Computa-tional Statistics: Clouds, GPUs, and What’s Next?Marc Suchard, University of California, Los Angeles

We will discuss how distributed cloud computing, multi-core, and massive many-core paralleliza-tion through graphics processing units (GPUs) can provide several orders-of-magnitude perfor-mance boosts in simulation, optimization, and stochastic search methods for fitting and evaluating complex models with increasingly large data.

Section on Physical and Engineering SciencesML02New Directions and Meth-ods in Process MonitoringWilliam H. Woodall, Virginia Tech

We will discuss the latest devel-opments in process monitoring and statistical process control.

Section on Quality and ProductivityML03Bayesian ReliabilityAlyson Wilson, Iowa State University

We will focus on practical issues related to Bayesian reli-ability assessments, including prior distributions, comput-ing, using covariates, designing

assurance tests, communicating results, and experiences with applications.

Section on Statistical EducationML04Becoming a Teacher of StatisticsMichelle Everson, University of Minnesota

This roundtable will focus on current recommendations and best practices (GAISE) for teaching introductory statistics at the college level.

ML05Quality Assurance in Online Courses: How Do We Establish It?Sue Schou, Idaho State University

We will discuss ensuring online courses deliver a similar quality product as traditionally taught courses.

Section on Statistics in Defense and National SecurityML06Supporting National Security Policy with Science and TechnologySallie Keller, IDA Science and Technology

We will discuss the nuances of how innovation in science and technology can best support national security policy and how national security policy needs to be modified as a result of innovation.

Section on Statistics in EpidemiologyML07Gerontologic Biostatistics: Time to Consider Best Practices?Terrence E. Murphy, Yale University School of Medicine

We will examine the hierarchy of analytical preferences when performing longitudinal model-ing of gerontological outcomes.

Section on Teaching of Statistics in the Health SciencesML08Quick One-Page Tutori-als Promoting Statistical LiteracyBecki Bucher Bartelson, Rocky Mountain Poison and Drug Center

In developing a series of one-page handouts on a variety of commonly used statistical methods/topics, tutorials were designed with an emphasis on statistical literacy versus the “how-to” approach. We will discuss tutorial goals, their de-velopment, target audience, and dissemination strategies.


Fee: $40 each (includes meal)

Roundtable Discussions Monday, August 1, 201112:30 p.m.–1:50 p.m.

P.M.

Section on Statistics in SportsML09Measuring Fielding in Baseball: Present and FutureFielding ability remains a difficult quantity to estimate in baseball. I present a sophisticated hierarchical model that uses current ball-in-play data to evaluate individual fielders. I will discuss continuing efforts to extend these fielding models to examine the evolution of fielding ability over multiple seasons. I also will discuss limitations, with a look toward the potential availability of much higher resolution data in the near future.

Shane T. Jensen is an associate professor of statistics in the Wharton School at the University of Pennsylvania, where he has been teaching since completing his PhD at Harvard University in 2004. Jensen has published more than 35 academic papers in statistical methodology for a variety of applied areas, including molecular biology, psychology, and sports. He maintains an ac-tive research program in developing sophisti-cated statistical models for the evaluation of player performance in baseball.

Speaker with Lunch

Biopharmaceutical SectionML10Implementation and Logistics of Adaptive Trial DesignEva R. Miller, ICON Clinical Research

Study teams experience greater demands for planning, com-munication, and teamwork within adaptive trial designs than for traditional trials. We will discuss how these demands affect statisticians; SAS programmers; and project, data, and drug supply managers.

ML11Statistical Issues in the Design and Analysis of Dose-Response StudiesSusan Huyck, Merck Research Laboratories

We will focus on the statisti-cal issues and approaches that may be found in dose-response studies, including sample size estimation, selection of dose lev-els, trend tests vs. pairwise com-parisons, and use of adaptive designs and interim analyses.

ML12Effect of Subsequent Thera-pies After Discontinuation of Study Medication in Analyzing Overall Survival in Cancer Clinical TrialsJulie Xiuyu Cong, Boehringer Ingelheim Pharmaceuticals, Inc.

We will discuss the pros and cons of available methodologies and stimulate new ideas.

ML13Analysis of Longitudinal Categorical DataMadhuja Mallick, Merck Research

This session will focus on candidate models—such as marginal, conditional, and transitional—and their advan-tages and disadvantages in the presence of missing data.

ML14Impact of the Noninferiority Clinical Trials Draft FDA Guidance on Noninferior-ity Margins InterpretationClaude Petit, Boehringer Ingelheim Pharmaceuticals, Inc.

In March 2010, the FDA issued guidance on noninferiority margins interpretation. We will investigate whether this guidance has changed the cur-rent statistical practice related to sample size calculation and the way to interpret NI clinical trials.

ML15Health Care Reform, Baby Boomers, and the Pharma-ceutical IndustryT. Paulette Ceesay, Merck and Company

We will focus on how we, as statisticians, may be able to predict the impact of recent health care reform on phar-maceutical companies’ bottom line as it relates to cost, research, and development.


Monday’s Lunch Menu: Grilled chicken with balsamic and garlic mari-nated supreme, rosemary roasted potato, green beans with mushrooms, lemon-caper sauce tomato relish, hearth-baked rolls and but-ter, chocolate mango tango, and iced tea. Chef ’s choice of vegetarian, kosher, and heart-healthy menus are also available.

ENARML16Methodology to Assess Surrogate Markers in Clinical TrialsJeremy Michael George Taylor, University of Michigan

We will discuss the strong de-sire to use surrogate endpoints, instead of true clinical endpoints, in randomized clinical trials.

Section for Statisti-cal Programmers and AnalystsML17The Future of U.S. Statisti-cal Programmers in the Pharmaceutical IndustryChengying (Nancy) Wu, sanofi-aventis

Due to the deep recession, more statistical program-ming jobs are being offshored. We will discuss our future as statistical programmers in the United States and how we need to prepare to win this challenge.

Section on Bayesian Statistical ScienceML18Manifold Learning for High-Dimensional DataDavid Dunson, Duke University

One direction to take when working with massive data is to suppose the massive-dimension-al observed data are concen-trated near a (much) lower dimensional manifold. We will discuss how, by “learning” this manifold, one can potentially enable compression of the

data leading to dramatic stor-age, processing, and analysis speed-ups.

Section on Health Policy StatisticsML19Beyond Propensity Scores: What Could Be Finer?Robert Obenchain, Risk Benefit Statistics LLC

Our discussion will address the question, “Are there factor-ing scores between the true PS and the individual x-vectors, and what would be their prac-tical advantages in adjustment for treatment selection bias and confounding in observa-tional studies?”

ML20Data Confidentiality - Health Policy PerspectiveOfer Harel, University of Connecticut

We will discuss the conceptual, methodological, and public policy implications of data con-fidentiality issues and how they augment exciting challenges and provide open problems for our field.

Section on Quality and ProductivityML21Quality Excellence in De-sign and Manufacturing: A Roadmap to Customer DelightDaksha Chokshi, Pratt & Whitney Rocketdyne

We will explore important

linkages, protocols, and les-sons learned from successful manufacturing and Six Sigma design applications. We also will discuss understanding the influence that design choices have on achieving a robust manufacturing system.

Section on Statistical ComputingML22To GUI or Not to GUI: R in Intro Biostats for Biomedi-cal Graduate StudentsHao Liu, Baylor College of Medicine

We will share pros and cons of using R in an introductory biostatistics course, exchange perspectives on introducing R to PhD and MD students with little programming background, and share suggestions from student feedback.

Section on Statistical ConsultingML23Documenting, Tracking, and Recognizing Consulting Effort in an Academic Medical CenterMatthew Stuart Mayo, University of Kansas Medical Center

We will examine web-based tools developed by the depart-ment of biostatistics at the University of Kansas Medical Center for documenting and tracking and discuss how that information has improved the recognition of these efforts.

To view complete round-table descriptions, visit www.amstat.org/ meetings/jsm/2011.


Section on Statistical EducationML24Tricks of the TradeMegan Elizabeth Mocko, University of Florida

Participants will be asked to share class activities that work well for illustrating a point or engaging students.

ML25Teaching English Language Learners in an Online EnvironmentAmy Elizabeth Wagler, The University of Texas at El Paso

We will explore the issues faced by English language learners when learning statistical con-cepts in online environments.

Section on Statistical GraphicsML26Visualizing High- Dimensional DataGenevera I. Allen, Baylor College of Medicine/Rice University

We will discuss approaches and recent developments for visualizing high-dimensional data sets, including methods for finding and visualizing patterns, visually assessing the fit of a model, and letting graphics drive the data analysis.

Section on Statistics and the EnvironmentML27The Present and Potential Role of Statistics in Paleoclimate Reconstruc-tion for Learning About Climate ChangeBo Li, Purdue University

We will discuss the present and potential role of statistics in paleoclimate reconstruction for learning about climate change.

Section on Statistics in EpidemiologyML28Instrumental Variable Es-timation in Epidemiologic ResearchMiguel Hernan, Harvard School of Public Health

We will discuss the relative ad-vantages and disadvantages of instrumental variable estima-tion for causal inference from observational data.

ML29Hot Topics in Genetic EpidemiologyHongyu Zhao, Yale University

We will discuss what has been ac-complished through technologi-cal revolutions, the many gaps remaining between biological questions to be addressed and available methodologies, and col-laborative and grant opportuni-ties in genetic epidemiology.

Section on Survey Research MethodsML30Measurement Error in Survey ParadataBrady Thomas West, Michigan Program in Survey Methodology, Institute for Social Research

The objectives of this round-table are to discuss current uses of survey paradata, brainstorm methods for quantifying the er-ror in paradata collected using a variety of modes, discuss study

designs for analyzing the im-plications of the measurement error for survey operations and estimation, and identify mean-ingful research agendas.

Section on Teaching of Statistics in the Health SciencesML31Using the Writings of Mark Twain to Reduce Introductory Statistics Course AnxietyJack Barnette, Colorado School of Public Health

We will discuss how literature may be used to introduce and provide input for discussion of theory and methods.

Social Statistics SectionML32Can Statisticians Add Value to Teacher Value-Added?Daniel F. McCaffrey, RAND

We will discuss the role statisti-cians play in the estimation of value-added, the key statistical issues in the estimation of value-added, and the role our profes-sion can play to make the data most useful.


To view complete round-table descriptions, visit

www.amstat.org/ meetings/jsm/2011.


Roundtable Discussions Tuesday, August 2, 20117:00 a.m.–8:15 a.m.

A.M.Section on Bayesian Statistical ScienceTL01Gender Issues in Academia and How to Balance Work and LifeFrancesca Dominici, Harvard School of Public Health

Four themes as the root causes for the under-representation of women in leadership positions have arisen from focus group in-terviews of senior women faculty leaders at Johns Hopkins. We discuss these findings and how to balance work and life.

Section on Health Policy StatisticsTL02Do You Want to Visit Australasia?Louise Ryan, CSIRO

We will explore what it’s like living and working in Australasia, the differences in statistical proj-ects between the American and Australasian regions, and what job opportunities are available.

Section on Physical and Engineering SciencesTL03Engaging Stochastic Spa-tiotemporal Methodolo-gies in Renewable Energy ResearchAlexander Kolovos, SAS Institute, Inc.

This roundtable builds on a dis-cussion begun at JSM 2010. This year, we will look into enabling a communication core between statisticians and specialists in re-newable energy and sustainability.

Section on Quality and ProductivityTL04Effective Statistical Training in IndustryWillis Jensen, W. L. Gore & Associates, Inc.

We’ll talk about how we can make training different audiences more effective and which common training myths to consider.

Section on Statistical ComputingTL05Introductory Data Analysis Courses with (and Without) RJohn Emerson, Yale University

We’ll focus on introductory data analysis courses intended for undergraduate students, including the choice of comput-ing platforms.

Section on Statistical ConsultingTL06Statistical Consulting as a Career PathCarlos Alzola, Data Insights Inc., and Anamaria Segnini Kazanis, ASKSTATS Consulting LLC

This roundtable will focus on opportunities and options for the young (and not so young) statistics consultant.

Section on Statistical EducationTL07Teach Statistical Literacy with Epidemiology!Daniel T. Kaplan, Macalester College

I’ll present the outline of an undergraduate epidemiology

course I teach, some of the quan-titative and statistical activities we do, and the “Epidemiology 101” recommendations in the Consensus Report on Public Health and Undergraduate Education. Then, we can discuss how epidemiology might fit in at your institution.

TL08Using R in Introductory Statistics CoursesAmy Wagaman, Amherst College

This roundtable will focus on the benefits and challenges of using R as the statistical computing software in introductory statistics courses.

Section on Statistics and the EnvironmentTL09Statistics for Wind EnergyMarc G. Genton, Texas A&M University

We’ll discuss how statistical tech-niques can enable wind energy to be more efficiently incorporated into the electrical grid.

Section on Teaching of Statistics in the Health SciencesTL10A Program to Enhance the Collaboration, Education, and Communication Skills of Biostatistics Graduate StudentsMiranda E. Kroehl, University of Colorado, Denver

We’ll focus on how programs to build communication skills can be incorporated into biostatistics graduate programs to help train students to become better com-municators and collaborators.





Roundtable Discussions Tuesday, August 2, 201112:30 p.m.–1:50 p.m.

P.M.

Business and Economic Statistics SectionTL11Challenges for Economic Policy: 2012 and BeyondThe financial crisis and deep and prolonged recession of 2007–2009 provoked an unprecedented policy response from the Federal Reserve, Congress, and the Obama administra-tion. As the dust settles and the economy improves, it is timely to assess three critical issues: 1) financial reform (the Dodd-Frank legislation) and its prospects for effectively ad-dressing Too-Big-to-Fail; 2) federal budget deficits and fiscal policy alternatives; and 3) longer-term economic prospects for the United States in light of these challenges and prospects for productivity growth.

Gary Stern was president and chief executive officer of the Federal Reserve Bank of Minne-apolis from March 1985 to September 2009. He currently serves on the board of directors of FINRA, The Dolan Company, The Deposi-tory Trust and Clearing Corporation, Ambac Assurance Corporation, and the Council for Economic Education, where he also served for a time as acting president and chief execu-tive officer. Stern is coauthor of Too Big to Fail: The Hazards of Bank Bailouts, published by The Brookings Institution in 2009.

Speaker with Lunch

Biopharmaceutical SectionTL12Recognizing Author InitiativeS. Stanley Young, National Institute of Statistical Sciences

We will discuss examples of au-thor initiative and how inclined statisticians might effectively push back and provide some level of independent oversight.

TL13Role of Statisticians and Programmers in As-sessment of SafetyVipin Arora, Abbott Laboratories

We will discuss examples of collaboration(s) and optimal ways of integrating and present-ing safety data.

TL14Data Mining in Vaccine Manufacturing: Finding Needles in Biological HaystacksNelson Lee Afanador, Merck, Sharp, & Dohme Corp.

We will discuss using advanced data mining methods in vaccine manufacturing.

TL15Small Event Rates, Big Outcome StudiesJennifer E. Hamer-Maansson, AstraZeneca

Small event rates for certain safety events can make outcome studies rather large. We will discuss the issues associated with these studies.

TL16Use of Propensity Score Analysis Method: Assump-tions/Validity Testing and What to Do When They FailTerri Kang Johnson, FDA/CDRH

We will discuss assumptions and validity testing associated with three most common types of propensity score analysis meth-ods (matching, stratification, and regression) and their adjustment methods, if any.

TL17Statistical Issues in Futility AnalysesXuan Liu, Merck

We will discuss issues related to futility analysis, including how to select the futility boundary and timing of the futility analyses.

Business and Economic Statistics SectionTL18The Emergence of Analytics in the World of Business DecisionmakingAric LaBarr, Institute for Advanced Analytics at North Carolina State University

We will discuss issues faced by both industry and academia in adjusting to the emergence of the field of analytics.


Tuesday’s Lunch Menu: Salmon niçoise salad with mixed greens, potatoes, green beans, olives, eggs, and vinai-grette; hearth-baked rolls and butter; key lime pie with raspberry sauce; and iced tea. Chef ’s choice of vegetarian, kosher, and heart-healthy menus are also available.

ENARTL19Statistics in Neuroimaging: Current Challenges and Emerging IssuesMartin A. Lindquist, Columbia University, and Hongtu Zhu, The University of North Carolina

The goal of this roundtable is to discuss ways of ensur-ing that statisticians make as big an impact as possible on neuroimaging. We also will discuss the goals of a recently petitioned group of the ASA, Statistics in Imaging.

Section for Statisti-cal Programmers and AnalystsTL20How to Submit SDTM Data for FDA ReviewWei (Lisa) Lin, Merck

We will discuss what statistical programmers need to prepare for SDTM data submission, includ-ing challenges and solutions.

Section on Bayesian Statistical ScienceTL21Practical Issues in Bayesian Adaptive Designs for Early-Phase Clinical TrialsPeter Francis Thall, MD Anderson Cancer Center

We will discuss issues arising in the application and imple-mentation of adaptive designs,

including establishing priors, conducting computer simula-tions to evaluate design proper-ties, and applying logistics and ethics to outcome-adaptive deci-sion rules when accrual is fast or slow relative to the timeframe for observing outcomes.

Section on Govern-ment Statistics TL22Balancing Data Quality and Data ConfidentialityLawrence Cox, National Institute of Statistical Sciences

We will discuss the goal of releas-ing high-quality disclosure-pro-tected data from both qualitative and quantitative standpoints.

Section on Health Policy StatisticsTL23Teaching Health Policy Sta-tistics in the Pacific IslandsMark Griffin, University of Queensland

This roundtable will focus on the International Conference for Health Statistics in the Pacific Islands chair’s experiences in organizing the conference and his advice for statistical educators involved in training within the developing nation context.

Section on Quality and ProductivityTL24What Is a Statistical Engineer and Do I Want to Be One?Jennifer H. Van Mullekom, DuPont

What is statistical engineering? Should statisticians be statistical engineers? Is practicing statistical engineering good for my career? We will explore these questions and a few more from the perspec-tive of a statistical consultant with 13 years of experience.

Section on Statistical ComputingTL25Comparing Distance Learning Platforms for Statistics CoursesSeth Hirshorn, University of Michigan-Dearborn

We will discuss the results of an instructor survey at the Uni-versity of Michigan to assess experiences using c-tools, VLT, Blackboard, and other platforms.

TL26R, Finance, and Statistical ComputingPaul R. Teetor, Self-employed

We will discuss challenges the R finance community faces and what’s on their leading edge, both in research and practice.


Section on Statistical ConsultingTL27Using Email Newsletters, Webinars, Blogs, and Social Media to Promote Your Consulting CareerStephen Simon, P Mean Consulting

This roundtable will focus on email newsletters, webinars, blogs, Facebook, LinkedIn, and Twitter as resources to advertise your services and promote your career as a statistical consultant.

Section on Statistical EducationTL28Using Class Activities to Teach Statistics Appreciation CoursesJamis Perrett, Texas A&M University

We will discuss using class time for activities to learn statistical concepts and to get students engaged in doing statistics.

TL29Distance-Learning Tech-nologies in Introductory Statistics CoursesJose-Miguel Yamal, The University of Texas School of Public Health

We will discuss challenges and advantages of using technologies for distance learning and share ideas of how to teach effectively.

TL30Teaching Statistics to Cul-turally and Linguistically Diverse StudentsLawrence M. Lesser, The University of Texas at El Paso

We will explore how the chal-lenges of having a diverse class can be turned into equitable opportunities for all students to learn.

TL31Teaching Statistics with RRandall Pruim, Calvin College

We will discuss types of students and courses for which R is more or less appropriate and possible alternatives, advantages of using R, challenges of using R with beginners and ways to reduce or overcome them, resources for teaching statistics with R, R computing environments, and what instructors new to R need to know.

Section on Survey Research MethodsTL32Research at the U.S. Census BureauDaniel Weinberg, U.S. Census Bureau

We will discuss the new Research and Methodology Director-ate at the U.S. Census Bureau, including the organization of the directorate, some of the key sta-tistical problems to be addressed, and employment opportunities arising from the initiative.

TL33Survey Quality Indicator Measures: Response Rates and AlternativesDonsig Jang, Mathematica Policy Research, Inc.

We will discuss the use of alternatives to response rates in measuring survey quality.

Social Statistics SectionTL34American Community Survey Data Products—Past and FutureTrent Alexander, U.S. Census Bureau

We will discuss the potential uses of the five-year estimates from the American Community Survey (ACS), as well as the ways in which the U.S. Census Bureau could change or improve ACS data products.





To view complete roundtable descriptions, visit www.amstat.org/meetings/jsm/2011.

Roundtable Discussions Wednesday, August 3, 20117:00 a.m.–8:15 a.m.

A.M.



Section on Health Policy StatisticsWL01Preparing to Work in a Developing CountryJustin Fisher, U.S. Government Accountability Office

We will explore the role of statistics and the soft skills in-volved in collaborative research projects with colleagues in developing nations.

Section on Physical and Engineering SciencesWL02Statistical Aspects of Complex Computer ModelsDorin Drignei, Oakland University

We will explore the complexi-ties of computer modeling and how far statistics can go to address them.

Section on Statistical ConsultingWL03Deciding to Be a Statistical ConsultantJesse Albert Canchola, Siemens Healthcare Diagnostics, and Monica Johnston, MostlyMath

When one embarks on owning a statistical consulting business, there are many questions to consider. Come with your ques-tions and we will find answers.

Section on Statistical EducationWL04Developing Best Practices in Preparing Statistics PhDs to TeachJohn Gabrosek, Grand Valley State University

This roundtable will serve as a brainstorming session for developing a set of best prac-tices for mentoring graduate students who plan to teach and new statistics teachers at the university level.

WL05Bringing Statistics Education to the CoreNicholas Jon Horton, Smith College

In this roundtable, participants will learn approaches to teach-ing modeling and computation in statistics and discuss ways to integrate them into their courses and curricula.

WL06Developing the Next Genera-tion of Collaborators: How Can the Teaching of Statis-tics Foster Positive Interac-tions with Researchers?Deborah V. Dawson, University of Iowa College of Dentistry

We will discuss how we can assist the next generation of researchers to be effective, informed collaborators.

WL07Using TinkerPlots to Teach the Bootstrap Test in an In-troductory Statistics CourseRebekah Isaak, University of Minnesota

Students use modeling and simulation software called TinkerPlots to explore statisti-cal concepts throughout the CATALST course. Participants in this roundtable will be given examples of such activities.

Section on Teaching of Statistics in the Health SciencesWL08Information Criteria, Bayes-ian Methods, and Their Implications for Statistical LiteracyRochelle Elaine Tractenberg, Georgetown University Medical Center

We will discuss options that participants may be contem-plating for their efforts to improve/achieve statistical literacy at their institutions.


Roundtable Discussions Wednesday, August 3, 201112:30 p.m.–1:50 p.m.

P.M.

Section on Health Policy Statistics

WL09Calibrated Bayes, Models, and the Role of Randomization in Surveys and ExperimentsThe calibrated Bayes approach to statistical inference is Bayesian for the inference, but seeks models that yield infer-ences that are calibrated, in the sense of having good repeat-ed-sampling properties. The Bayesian approach to inference was historically regarded as not supporting randomization for sample selection or treatment allocation, since the randomiza-tion distribution is not the basis for inference. I discuss why randomization is important to me, as a calibrated Bayesian, and provide supporting examples.

Roderick J. Little is associate director for re-search and methodology and chief scientist at the U.S. Census Bureau. He is on leave from the University of Michigan, where he is Richard D. Remington Collegiate Professor in the department of biostatis-tics. He also holds appointments in the department of statistics and the Institute for Social Research. Little has more than 250 publications, notably on methods for the analysis of data with missing values and model-based survey inference and the appli-cation of statistics to diverse scientific areas.

Speaker with Lunch

Biopharmaceutical SectionWL10Practical Use of Historical Controls in Clinical Trials for Rare DiseasesJessica (Jeongsook) Kim, FDA/CBER

We will discuss statistical considerations in determining appropriate historical controls for different situations.

WL11Globalization of Clinical Trials: The Development of Treatments and Preventa-tive Products for Diseases, with a Focus on VaccinesTammy Massie, U.S. Food and Drug Administration

We will discuss issues and chal-lenges associated with global vaccine development, but also applicable to other regulated products, including biologics, drugs, and medical devices.

WL12Regression with Latent Variables (MIMIC Models): A Better Way to Analyze Composite Scores from In-struments in Clinical Trials and Medical ResearchChengwu Yang, The Pennsylvania State University

We will discuss applying MIMIC models to composite scores and appropriate analysis strategies.

WL13Identifying Treatment-Effect Heterogeneity in Clinical Trials Using Subpopulation Treatment Effect Pattern PlotsAnn A. Lazar, University of California, San Francisco

We will discuss subpopulation treatment effect pattern plots (STEPP), an intuitive graphical method designed to evaluate treatment-effect heterogeneity.

WL14Adaptive Designs in a Confirmatory SettingJeff Maca, Novartis Pharmaceuti-cals Corporation

We will discuss what has been learned and what issues must be addressed to properly conduct adaptive designs in clinical trials.

WL15Current Issues in the Design and Analysis of Noninferiority TrialsGang Li, Johnson & Johnson

This roundtable will provide a platform for dialogue about noninferiority trials, includ-ing a new approach for margin specification.



To view complete round-table descriptions, visit www.amstat.org/ meetings/jsm/2011.

Business and Economic Statistics SectionWL16Electronic Commerce, Data, and Statistical ChallengesWolfgang Jank, University of Maryland

We will discuss challenges and opportunities for statisticians to get involved in Internet transactions that create floods of complex and challenging data.

Section for Statisti-cal Programmers and AnalystsWL17Producing Publication-Quality GraphsNancy J. Petersen, Department of Veterans Affairs

We will discuss which software packages are best for produc-ing graphs such as trend lines, survival curves, ROC curves, and other common plots.

WL18Unleashing the Power of the Scientific Program-mer in the Pharmaceutical IndustryAmy E. Gillespie, Merck

We will discuss statistical programming in support of early-phase development; epidemiology; health econom-ics; challenges of working with novel data types and require-ments to preprocess, filter, and manipulate data prior to analy-ses; development of standards for areas that require flexibility and exploratory environments; and software usage, including SAS, R, Matlab, and Splus.

Section on Bayesian Statistical ScienceWL19Rich-Data Problems in EconometricsHedibert Freitas Lopes, The University of Chicago

We will talk about problems rich-data environments pose and learn how applied econo-metricians are tackling them.

Section on Govern-ment StatisticsWL20Career Development for Statisticians: Making Cre-ative Use of Future Oppor-tunities and ChallengesJohn L. Eltinge, Bureau of Labor Statistics

We will discuss career develop-ment for statisticians working with the federal statistical system who will encounter an extraordinary range of opportunities and challenges arising from the increasing need for sophisticated statisti-cal information.

Section on Health Policy StatisticsWL21Improving Communica-tions Between FDA, Spon-sor, and Advisory PanelGary Lynn Kamer, FDA/CDRH/OSB/DBS

This discussion will identify information the manufactur-ing sponsor of a medical device needs to provide to FDA to improve the efficiency of the re-quired FDA review of the safety and effectiveness of the device.

WL22Relative Efficiency for Vari-ous Designs of Biomarker-Directed Clinical TrialsXiaofei Wang, Duke University Medical Center

This roundtable will focus on the statistical and cost issues in the design and analysis of biomarker-directed clinical trials for evaluating biomarker-directed treatment.

Section on Quality and ProductivityWL23Measurement System AssessmentStefan Steiner, University of Waterloo

We will discuss how to add ex-citement to the necessary task of assessing a measurement system.

Section on Statistical ComputingWL24Speeding Up the R Lan-guage Learning Curve for Students and New UsersZoran Bursac, University of Arkansas for Medical Sciences

We will discuss strategies, solutions, materials, and add-ons that can give a learning momentum to new R users.

WL25Smoothing Splines with Product Kernels in Modeling of Computer ExperimentsZhanyang Zhang, University of Michigan

We’ll discuss smoothing splines with product kernels as an ef-ficient statistical surrogate model.

Wednesday’s Lunch Menu: Four-cheese ravioli, balsamic roasted vegetables, red pepper sauce and basil drizzle, hearth-baked rolls and butter, apple crisp, and iced tea. Chef ’s choice of vegetarian, kosher, and heart-healthy menus are also available.


Section on Statistical ConsultingWL26Remote Statistical ConsultingCharles Kincaid, COMSYS

We will discuss the tools, tech-niques, travel, protocols, and best practices for how to be a success-ful remote statistical consultant.

Section on Statistical EducationWL27Uses, Abuses, Underuse, and Resistance to Excel in Teaching StatisticsJohn Barroso, Duquesne University

We will discuss the use of Microsoft Excel in statistical teaching in business, education, and humanities in general.

WL28Online vs. Brick and MortarPeter Bruce, statistics.com

We will discuss the future of higher education as online classes become more prevalent. How will statistics fare? Does teaching introductory statistics require face-to-face instruc-tion? Will a “best-of-breed” online version of Statistics 101 develop and come to dominate the field?

WL29Online Computation for Teaching StatisticsJ.J. Allaire, RStudio, Inc.

We will discuss how online computation and collaborative possibilities can be used ef-fectively and explore innovative ways to provide better inter-faces between students and statistical computation.

Section on Statistics in Defense and National SecurityWL30Rigor in Defense Testing and Evaluation: Balancing Best Practices and Imple-mentabilityCatherine Warner, Director of Operational Test and Evaluation

We will discuss the potential benefits of increasing the use of statistical methods in test and evaluation of complex military systems.

Section on Survey Research MethodsWL31The General Social Survey (GSS) and the Methodol-ogy for Studying Societal ChangeTom W. Smith, NORC

We will draw on specific GSS experience to illustrate the dos and don’ts of studying societal change.

Section on Teaching of Statistics in the Health SciencesWL32Statistics in Nursing ResearchMatthew J. Hayat, The Johns Hopkins University

We will discuss the statistician’s role in educating and consult-ing with nurse researchers.

Social Statistics SectionWL33Who Is Poor? A New Look With the Supplemental Poverty MeasureKathleen S. Short, U.S. Census Bureau

This group will discuss many of the elements recommended by the Interagency Technical Working Group to include in a preliminary supplemental poverty measure.





Continuing Education

RegistrationThe registration deadline for courses and Computer Technol-ogy Workshops is 11:59 p.m., Eastern Daylight Time, July 13, 2011. Registration will depend on seat availability and be handled on a first-come, first-served basis. Registering early is the best option to ensure a place for any CE offering. If seats are available after the July 13 deadline, onsite registration will be offered. To participate in courses and workshops, you must register for the Joint Statistical Meetings.

Continuing Education offerings consist of courses and Computer Technology Work-shops. Courses are offered in two-day, one-day, and half-day formats on Saturday through Tuesday. An hour-and-a-half break is provided for attendees to have lunch on their own. The ASA provides beverages for mid-morning and mid-afternoon breaks. Computer Technology Workshops are offered in two-hour intervals on Wednesday.

Course Participation CertificatesThe ASA provides course participation certificates upon request to those who attend en-tire courses. Complete a request form at the end of the course and your certificate will be mailed to you within one month. Be sure to indicate the title and number of each course for which you will need a certificate.

Excellence-in-CE Award Courses that exceed expecta-tions in quality, content, and presentation are recognized with the Excellence-in-CE Award from the Advisory Committee on Continuing Education and invited to return the following year. “Bayesian Adaptive Methods for Clinical Trials,” presented by Bradley P. Carlin, Donald Berry, J. Jack Lee, and Scott Berry, won the award in 2010. This course is being offered again on Tuesday, August 2.


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ETime Course Instructor(s) Course Title

Saturday, July 30

8:30 a.m.–5:00 p.m. CE_01C Geert Verbeke/Geert Molenberghs Foundations and Recent Advances in Longitudinal and Incomplete Data

8:30 a.m.–5:00 p.m. CE_03C George Casella Principles and Applications of Statistical Design

8:30 a.m.–5:00 p.m. CE_04C Anders Wallgren/Britt Wallgren Administrative Data for Statistical Purposes

8:30 a.m.–5:00 p.m. CE_05C Todd Ogden Wavelets in the Real World

Sunday, July 31

8:30 a.m.–5:00 p.m. CE_01C Geert Verbeke/Geert Molenberghs Foundations and Recent Advances in Longitudinal and Incomplete Data

8:00 a.m.–noon CE_06C Simon Urbanek/Tamraparni Dasu Data Stream Mining: Tools and Applications

8:30 a.m.–5:00 p.m. CE_07C Bruno Sanso Bayesian Inference

8:30 a.m.–5:00 p.m. CE_08C Jae-kwang Kim/Wayne Fuller Advanced Topics in Survey Sampling

8:30 a.m.–5:00 p.m. CE_09C Rafe Donahue Fundamental Statistics Concepts in Presenting Data: Principles for Constructing Better Graphics

1:00 p.m. –5:00 p.m. CE_10C David Banks Risk Analysis in National Security

Monday, August 18:00 a.m.–noon CE_11C Tim Hesterberg Bootstrap Methods and Permutation Tests for Doing and Teaching Statistics

8:30 a.m.–5:00 p.m. CE_12C Fang Chen Practical Bayesian Computation

8:30 a.m.–5:00 p.m. CE_13C Alex Dmitrienko/Devan Mehrotra/Keaven Anderson Analysis of Clinical Trials: Theory and Applications

8:30 a.m.–5:00 p.m. CE_14C Charles McCulloch Generalized Linear Mixed Models

8:30 a.m.–5:00 p.m. CE_15C Frank Bretz/Peter Westfall Multiple Comparisons Using R and SAS

1:00 p.m. –5:00 p.m. CE_16C Christopher Schmid/Ingram Olkin Meta-Analysis: Combining the Results of Multiple Studies

Tuesday, August 2

8:00 a.m.–noon CE_17C Deborah Griffin/Alfredo Navarro What Statisticians Should Know About the American Community Survey

8:30 a.m.–5:00 p.m. CE_02C Christoph Lange/Nan Laird The Fundamentals of Modern Statistical Genetics

8:30 a.m.–5:00 p.m. CE_18C Robert Muenchen An Introduction to R for SAS, SPSS, and Stata Users

8:30 a.m.–5:00 p.m. CE_19C Wei-Yin Loh Classification and Regression Trees

8:30 a.m.–5:00 p.m. CE_20C Anastasios Tsiatis Semiparametric Theory and Missing Data

8:30 a.m.–5:00 p.m. CE_21C Bradley Carlin/Donald Berry/ J. Jack Lee/Scott Berry Bayesian Adaptive Methods for Clinical Trials

1:00 p.m. –5:00 p.m. CE_22C Duncan Thomas Methodological Challenges in Environmental Epidemiology for the Statistician

Wednesday, August 3

8:00 a.m. –9:45 a.m. CE_23T Michael Borenstein Meta-Analysis: Concepts and Applications

8:00 a.m. –9:45 a.m. CE_24T Jeffrey Pitblado Survey Data Analysis with Stata

8:00 a.m. –9:45 a.m. CE_25T Mikhail Golovnya Introduction to CART: Data Mining with Decision Trees

8:00 a.m. –9:45 a.m. CE_26T Jim Bolognese Better Ways to Get the Dose Right with Cytel’s New Compass®

10:00 a.m.–11:45 a.m. CE_27T Michael Borenstein Power Analysis: A Simple and Effective Approach

10:00 a.m.–11:45 a.m. CE_28T Yulia Marchenko Multiple-Imputation Analysis in Stata

10:00 a.m.–11:45 a.m. CE_29T Mikhail Golovnya Introduction to MARS: Predictive Modeling with Nonlinear Automated Regression Tools—Continuing Education

10:00 a.m.–11:45 a.m. CE_30T Cyrus Mehta New Developments in East®: Designing and Simulating Confirmatory Trials with Multiple Treatment Arms

1:00 p.m.–2:45 p.m. CE_31T Warren Kuhfeld The Graph Template Language in SAS and the Statistical Graphics Procedures

1:00 p.m.–2:45 p.m. CE_32T Roberto Gutierrez Multilevel and Mixed Models in Stata

1:00 p.m.–2:45 p.m. CE_33T Mikhail Golovnya Advances in Data Mining: Jerome Friedman’s TreeNet/MART and Leo Breiman’s Random Forests

3:00 p.m.–4:45 p.m. CE_34T Rick Wicklin Data Simulation for Evaluating Statistical Methods in SAS

3:00 p.m.–4:45 p.m. CE_35T Mikhail Golovnya Advances in Tree-Based Modeling Tools, Data Mining, Predictive Analytics, and Modeling Automation Technology: Introduction to SPM, Salford Predictive Modeler


CE_01C (two-day course)8:30 a.m.–5:00 p.m.

Foundations and Recent Advances in Longitudinal and Incomplete DataInstructor(s): Geert Verbeke and Geert Molenberghs

We will present linear mixed models for continuous hierar-chical data; discuss models for non-Gaussian data; show that, if no appropriate measures are taken, missing data can jeopar-dize results and interpretation difficulties can occur; and discuss a selection of contemporary and highly relevant advances.FEES: M–$645 ($870) NM–$785 ($1,060) S–$370 ($500)

CE_03C8:30 a.m.–5:00 p.m.

Principles and Appli-cations of Statistical DesignInstructor(s): George Casella

This course covers the prin-ciples and practice of statistical design—paying attention to the setup and implementation of an experiment—and the underlying theory that allows valid inferences.FEES: M–$370 ($500) NM–$490 ($660) S–$225 ($300)

CE_04C8:30 a.m.–5:00 p.m.

Administrative Data for Statistical PurposesInstructor(s): Anders Wallgren and Britt Wallgren

This course offers a detailed account of the principles and practices of developing register-based surveys—surveys based on already available administra-tive data.FEES: M–$370 ($500) NM–$490 ($660) S–$225 ($300)

CE_05C8:30 a.m.–5:00 p.m.

Wavelets in the Real WorldCosponsor: Nonparametric Statistics SectionInstructor(s): Todd Ogden

This course is designed to give participants enough background to allow them to begin using wavelets as a tool in practical data analysis situations. FEES: M–$370 ($500) NM–$490 ($660) S–$225 ($300)

CE_01C (two-day course)8:30 a.m.–5:00 p.m.

Foundations and Recent Advances in Longitudinal and Incomplete Data

M=Member NM=Nonmember S=Student(Price in parentheses is for onsite registration.)

To view complete course descriptions, visit www.amstat.org/ jsmregistration.


SATURDAYJULY 30

SUNDAYJULY 31

CE_06C8:00 a.m.–noon

Data Stream Mining: Tools and ApplicationsCosponsor: Statistical Comput-ing SectionInstructor(s): Simon Urbanek and Tamraparni Dasu

This course will provide a com-prehensive approach to data stream mining with emphasis on tools, techniques, and their application to solve real-world stream mining problems.FEES: M–$235 ($315) NM–$305 ($410) S–$140 ($190)

CE_07C8:30 a.m.–5:00 p.m.

Bayesian InferenceCosponsor: Bayesian Statistical Science SectionInstructor(s): Bruno Sanso

This course reviews the bases of Bayesian inference.FEES: M–$370 ($500) NM–$490 ($660) S–$225 ($300)

CE_08C8:30 a.m.–5:00 p.m.

Advanced Topics in Survey SamplingCosponsor: Survey Research Methods SectionInstructor(s): Jae-kwang Kim and Wayne Fuller

This course is designed for researchers and practitioners interested in advanced tech-niques and the theory underly-ing those techniques. Topics include asymptotic theory in survey sampling, optimality in estimation and design, and use of models with survey samples.FEES: M–$370 ($500) NM–$490 ($660) S–$225 ($300)



To view complete course descriptions, visit www.amstat.org/

jsmregistration.

CE_09C8:30 a.m.–5:00 p.m.

Fundamental Statistics Concepts in Present-ing Data: Principles for Constructing Better GraphicsCosponsor: Statistical Graphics SectionInstructor(s): Rafe Donahue

This course will present a num-ber of principles for construct-ing data displays that allow the architect to present data for improved understanding.FEES: M–$370 ($500) NM–$490 ($660) S–$225 ($300)

CE_10C1:00 p.m.–5:00 p.m.

Risk Analysis in National SecurityCosponsor: Section on Statistics in Defense and National SecurityInstructor(s): David Banks

This course describes the cur-rent state of the statistical art in addressing national security problems that pose special chal-lenges for classical statistical risk analysis.FEES: M–$235 ($315) NM–$305 ($410) S–$140 ($190)


Bootstrap Methods and Permutation Tests for Doing and Teaching StatisticsCosponsors: Statistical Educa-tion Section and Statistical Computing Section

MONDAYAUGUST 1

CE_14C8:30 a.m.–5:00 p.m.

Generalized Linear Mixed ModelsCosponsor: Biometrics SectionInstructor(s): Charles McCulloch

The focus of this course is ap-proaches to modeling, methods of estimation and inference, and available software.FEES: M–$370 ($500) NM–$490 ($660) S–$225 ($300)

CE_15C8:30 a.m.–5:00 p.m.

Multiple Comparisons Using R and SASCosponsor: Biopharmaceutical Section

Instructor(s): Frank Bretz and Peter Westfall

This course provides a self-contained introduction to multiple comparison procedures, with discussion and analysis of examples using available SAS and R implementations.FEES: M–$395 ($525) NM–$515 ($685) S–$250 ($325)

CE_16C1:00 p.m.–5:00 p.m.

Meta-Analysis: Combining the Results of Multiple StudiesCosponsors: Health Policy Sta-tistics Section and Section on Bayesian Statistical ScienceInstructor(s): Christopher Schmid and Ingram Olkin

We will describe techniques for statistical analysis of multivari-ate meta-analytic data using problems for which standard meta-analytic methods are suboptimal.FEES: M–$235 ($315) NM–$305 ($410) S–$140 ($190)

Instructor(s): Tim Hesterberg

In this course, we’ll see how inaccurate normal-based methods are in the presence of even moderate skewness. We’ll look at applications from a variety of fields, including telecommunications, finance, and biopharm.FEES: M–$235 ($315) NM–$305 ($410) S–$140 ($190)

CE_12C8:30 a.m.–5:00 p.m.

Practical Bayesian ComputationCosponsor: Statistical Programming and Analysts SectionInstructor(s): Fang Chen

We will review the basic concepts of Bayesian inference and focus on the practical use of Bayesian computational methods.FEES: M–$370 ($500) NM–$490 ($660) S–$225 ($300)

CE_13C8:30 a.m.–5:00 p.m.

Analysis of Clinical Trials: Theory and ApplicationsCosponsor: Biopharmaceutical SectionInstructor(s): Alex Dmitrienko, Devan Mehrotra, and Keaven Anderson

This course will cover analysis of stratified trials, analysis of time-to-event data, multiple comparisons and multiple endpoints, and interim analysis and interim data monitoring.FEES: M–$370 ($500) NM–$490 ($660) S–$225 ($300)

M=Member NM=Nonmember

S=Student




What Statisticians Should Know About the American Commu-nity SurveyCosponsor: Survey Research Methods SectionInstructor(s): Deborah Griffin and Alfredo Navarro

We will provide an overview of the basic design of the Ameri-can Community Survey and the methods used to produce survey estimates.FEES: M–$235 ($315) NM–$305 ($410) S–$140 ($190)

CE_02C8:30 a.m.–5:00 p.m.

The Fundamentals of Modern Statistical GeneticsInstructor(s): Christoph Lange and Nan Laird

We will discuss the statistical models and methods used to understand the genetic basis of human disease.FEES: M–$370 ($500) NM–$490 ($660) S–$225 ($300)

CE_18C8:30 a.m.–5:00 p.m.

An Introduction to R for SAS, SPSS, and Stata UsersCosponsor: Statistical Programming and Analysts SectionInstructor(s): Robert Muenchen

This course will describe R using terms with which users of those packages are already familiar. We will devote most of the day to working through applied examples.FEES: M–$395 ($525) NM–$515 ($685) S–$250 ($325)

CE_19C8:30 a.m.–5:00 p.m.

Classification and Regression TreesInstructor(s): Wei-Yin Loh

This course reviews the major algorithms—including C4.5, CART, CHAID, CRUISE, GUIDE, M5, and QUEST—used in classification and regression trees.FEES: M–$370 ($500) NM–$490 ($660) S–$225 ($300)

CE_20C8:30 a.m.–5:00 p.m.

Semiparametric Theory and Missing DataCosponsor: Biometrics SectionInstructor(s): Anastasios Tsiatis

The morning session of this course will introduce the theory and methods for semiparamet-ric models assuming there are no missing data. The afternoon session will discuss how to extend ideas developed in the morning to missing data prob-lems and show how this leads to augmented inverse proba-bility weighted complete-case estimators. FEES: M–$370 ($500) NM–$490 ($660) S–$225 ($300)

CE_21C8:30 a.m.–5:00 p.m.

Bayesian Adaptive Methods for Clinical TrialsInstructor(s): Bradley Carlin, Donald Berry, J. Jack Lee, and Scott Berry

*2010 Excellence-in-CE Award WinnerThis course introduces hierar-chical Bayes methods for the design, interim monitoring, and analysis of clinical trials data and demonstrates their usefulness in challenging ap-plied settings.FEES: M–$370 ($500) NM–$490 ($660) S–$225 ($300)

CE_22C1:00 p.m.–5:00 p.m.

Methodological Chal-lenges in Environmen-tal Epidemiology for the StatisticianCosponsor: Statistics in Epide-miology SectionInstructor(s): Duncan Thomas

This course aims to reignite the interest of statisticians in some of the methodological challenges posed by environ-mental epidemiology. Drawing on the presenter’s extensive experience in radiation and air pollution studies, he will describe outstanding statistical problems and novel approaches being explored.FEES: M–$235 ($315) NM–$305 ($410) S–$140 ($190)

TUESDAYAUGUST 2

M=Member NM=Nonmember S=Student(Price in parentheses is for onsite registration.)



CE_23T8:00 a.m.–9:45 a.m.

Meta-Analysis: Con-cepts and ApplicationsInstructor(s): Michael Borenstein

We will discuss the concept of meta-analysis and show how to compute treatment effects, compute a combined effect, as-sess heterogeneity, and explain variation in treatment effects across studies. We also will discuss the difference between fixed-effect and random-effects models and address common criticisms of meta-analysis.

CE_24T8:00 a.m.–9:45 a.m.

Survey Data Analysis with StataInstructor(s): Jeffrey Pitblado

This workshop covers how to use Stata for survey data analy-sis assuming a fixed population.

CE_25T8:00 a.m.–9:45 a.m.

Introduction to CART: Data Mining with Deci-sion TreesInstructor(s): Mikhail Golovnya

This tutorial is intended for the applied statistician want-ing to understand and apply the CART methodology for tree-structured nonparametric data analysis. The emphasis will be on practical data analysis involving classification.

CE_26T8:00 a.m.–9:45 a.m.

Better Ways to Get the Dose Right With Cytel’s New Compass®Instructor(s): Jim Bolognese

Workshop attendees will learn what to consider when deter-mining the most suitable dose-finding study adaptive method, practicalities of simulating and comparing the operating characteristics of different trial design candidates, and how to design a single study that addresses multiple research objectives.

CE_27T10:00 a.m.–11:45 a.m.

Power Analysis: A Simple and Effective ApproachInstructor(s): Michael Borenstein

I will explain the process of power analysis and show how to use it to plan studies and write grant applications.

CE_28T10:00 a.m.–11:45 a.m.

Multiple-Imputation Analysis in StataInstructor(s): Yulia Marchenko

This workshop covers the use of Stata to perform multiple- imputation analysis, a sim-ulation-based technique for handling missing data.

CE_29T10:00 a.m.–11:45 a.m.

Introduction to MARS: Predictive Modeling with Nonlinear Au-tomated Regression Tools—Continuing EducationInstructor(s): Mikhail Golovnya

This workshop will introduce the main concepts of Jerome Friedman’s MARS, a modern regression tool that can help analysts quickly develop supe-rior predictive models.

CE_30T10:00 a.m.–11:45 a.m.

New Developments in East®: Designing and Simulating Confirma-tory Trials with Mul-tiple Treatment ArmsInstructor(s): Cyrus Mehta

We’ll explore multiple compari-son procedures that guarantee strong control of the family-wise error rate while demon-strating the recently released Multiple Comparison Methods and SiZ software.

Computer Technology Workshops—$55 eachTo view the complete course descriptions, visit www.amstat.org/jsmregistration.

WEDNESDAY AUGUST 3

To view complete course descriptions, visit www.amstat.org/

jsmregistration.



Computer Technology Workshops—$55 eachTo view the complete course descriptions, visit www.amstat.org/jsmregistration.

CE_31T1:00 p.m.–2:45 p.m.

The Graph Template Language in SAS and the Statistical Graph-ics ProceduresInstructor(s): Warren Kuhfeld

This workshop provides a gentle, parallel, and example-driven introduction to the SAS graph template language and statistical graphics procedures.

CE_32T1:00 p.m.–2:45 p.m.

Multilevel and Mixed Models in StataInstructor(s): Roberto Gutierrez

This workshop covers the use of Stata to fit multilevel (mixed) models—models that contain multiple levels of nested ran-dom effects.

CE_33T1:00 p.m.–2:45 p.m.

Advances in Data Mining: Jerome Fried-man’s TreeNet/MART and Leo Breiman’s Random ForestsInstructor(s): Mikhail Golovnya

This workshop will present Leo Breiman’s Random Forests and Jerome Friedman’s TreeNet/MART (also known as TreeNet Stochastic Gradient Boosting).

CE_34T3:00 p.m.–4:45 p.m.

Data Simulation for Evaluating Statistical Methods in SASInstructor(s): Rick Wicklin

To assess statistical techniques, you often need to create data with known properties, both random and nonrandom. This workshop presents techniques for using the DATA step and SAS/IML® software to simulate data.

CE_35T3:00 p.m.–4:45 p.m.

Advances in Tree-Based Modeling Tools, Data Mining, Predic-tive Analytics, and Modeling Automation Technology: Introduc-tion to SPM, Salford Predictive ModelerInstructor(s): Mikhail Golovnya

This tutorial will introduce SPM, Salford Systems’ predic-tive modeling suite.

NEW for JSM 2011: Technology TheaterJSM exhibitors and workshop presenters will conduct live demonstrations of their software products in the Technology Theater, adjacent to the exhibit hall. There is no fee or registration required, so stop in. A schedule of the Monday and Tuesday presentations will be available in the program book and on signs in the exhibit hall.

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