biostatistics - concepts tudor calinici – jpems 2014

28
Biostatistics - Concepts Tudor Calinici – JPEMS 2014

Upload: marybeth-davis

Post on 17-Dec-2015

218 views

Category:

Documents


1 download

TRANSCRIPT

Page 1: Biostatistics - Concepts Tudor Calinici – JPEMS 2014

Biostatistics - ConceptsTudor Calinici – JPEMS 2014

Page 2: Biostatistics - Concepts Tudor Calinici – JPEMS 2014

Based on the researchers role Observational Experimental

Study types

Page 3: Biostatistics - Concepts Tudor Calinici – JPEMS 2014

Description of a health phenomenon

 Evaluation of a diagnostic test

 Evaluation of a therapeutic approach

 Evaluation of prognostic (risk or protective) factors

Main domains of medical research

Page 4: Biostatistics - Concepts Tudor Calinici – JPEMS 2014

Based on study objectives Descriptive Analytical

Types of studies

Page 5: Biostatistics - Concepts Tudor Calinici – JPEMS 2014

Descriptive

Inferential

Statistics

Page 6: Biostatistics - Concepts Tudor Calinici – JPEMS 2014

Based on the studied population Exhaustive Sampling

Study types

Page 7: Biostatistics - Concepts Tudor Calinici – JPEMS 2014

Population

Sample / representative sample

Statistical objects

Page 8: Biostatistics - Concepts Tudor Calinici – JPEMS 2014

Population vs. Sample

Use sample because size accessibility Economical reasons Financial reasons

Page 9: Biostatistics - Concepts Tudor Calinici – JPEMS 2014

Studies

Source: www.socialresearchmethods.net

Page 10: Biostatistics - Concepts Tudor Calinici – JPEMS 2014

Representative sample

A good sample must provide an image about the population

Representative sample quantitative condition qualitative condition

Page 11: Biostatistics - Concepts Tudor Calinici – JPEMS 2014

Representative sample

Exposed – non-exposed

Case - control

Types of samples - groups

Page 12: Biostatistics - Concepts Tudor Calinici – JPEMS 2014

Based on the duration of data collection Cross-sectional • longitudinal - retrospective or prospective

Study types

Page 13: Biostatistics - Concepts Tudor Calinici – JPEMS 2014

Collecting data

Descriptive statistics

Characteristics – Variables Quantitative; Qualitative

Page 14: Biostatistics - Concepts Tudor Calinici – JPEMS 2014

To present data Tables Charts Numeric characteristics

Descriptive statistics

Page 15: Biostatistics - Concepts Tudor Calinici – JPEMS 2014

Tables

Page 16: Biostatistics - Concepts Tudor Calinici – JPEMS 2014

Frequency tables

Count of Gender  

Treatment Total

Metistatin 584

Placebo 614

Grand Total 1198

Page 17: Biostatistics - Concepts Tudor Calinici – JPEMS 2014

Gender    

Treatment f mGrand Total

Metistatin 293 291 584

Placebo 321 293 614

Grand Total 614 584 1198

Contingency tables

Page 18: Biostatistics - Concepts Tudor Calinici – JPEMS 2014

The representation of the data

Distribution

For frequency tables For contingency tables

Charts

Page 19: Biostatistics - Concepts Tudor Calinici – JPEMS 2014

A randomized clinical trial (RCT) has been performed in order to test the efficacy of Metistatin (a statin - drug intended to lower blood cholesterol levels) versus Placebo for preventing major vascular events (nonfatal myocardial infarction, cardiac death, stroke) in diabetic patients.

  A number of 1198 patients with diabetes from several hospitals in

England were included in the study sample.   The study was conducted after the approval for marketing of this

preparation.     .

Problem

Page 20: Biostatistics - Concepts Tudor Calinici – JPEMS 2014

Of interest for the study was whether Metistatin is superior to placebo (placebo - identical in appearance, size, taste to Metistatin, but lacking the active substance) in preventing major vascular events. A secondary objective has been to follow if Metistatin lowers cholesterol more than Placebo. Another question was “Is gender related to major cardiovascular events?”

  Every patient who entered the study was randomly allocated to

one of two preparations: Metistatin 80 mg daily administered as a single dose, or placebo. The allocation of the two interventions was masked – the investigator was allocating for each eligible patient a code corresponding to one of the two interventions, found in opaque numbered sealed envelopes. The pharmacy of the hospital was making sure each patient would receive the correct intervention based on the codes.

Page 21: Biostatistics - Concepts Tudor Calinici – JPEMS 2014

Neither the patients nor the physicians were aware about which intervention the patients were receiving.

  Subjects were followed under similar care

circumstances for all diabetic patients from the respective hospitals.

  The study excluded subjects receiving other

medications that alter cholesterol levels (prednisone, estrogen, progesterone, anabolic drugs, and cyclosporine), subjects allergic to Metistatin, obese subjects and subjects for whom transportation for follow-up would be difficult or impossible. Also, all subjects who entered the study signed an informed consent (the act by which the patient consents to enter the study, acknowledging their rights, all the risks and benefits posed by his/her participation in the study).

Patients were followed for 10 years. Blood cholesterol levels were measured at the beginning and at the end of the study and the occurrence of major vascular events has been recorded

Page 22: Biostatistics - Concepts Tudor Calinici – JPEMS 2014

Describe the data collected in BD_Ten.xls file according to:

Gender Treatment Major vascular event Treatment by gender Major vascular event by gender

Exercise 1

Page 23: Biostatistics - Concepts Tudor Calinici – JPEMS 2014

Central Measures Mean, median, mode

Spread Measures Range, Standard Deviation, Coefficient of

variation

Quantitative characteristics

Page 24: Biostatistics - Concepts Tudor Calinici – JPEMS 2014

Sqew

Kurt

Normal distribution

Page 25: Biostatistics - Concepts Tudor Calinici – JPEMS 2014

Prevalence Incidence

Ratios Odd Ratio Risk Ratio

Qualitative characteristics

Page 26: Biostatistics - Concepts Tudor Calinici – JPEMS 2014

For qualitative variables compute the central measures, spread measures and decide if the data are normal distributed

Exercise 2

Page 27: Biostatistics - Concepts Tudor Calinici – JPEMS 2014

Qualitative variablesChi Square test

Quantitative variablesT test for means

Inference

Page 28: Biostatistics - Concepts Tudor Calinici – JPEMS 2014

Define research questions in terms of statistical hypothesis?

Respond to the research questions!

Exercise