Programme highlight

• Population versus sample
• Experimental versus observational study
• Variable types: categorical/continues
• Descriptive statistics: graphical and numerical summary, measures for centre and spread
• Hypothesis testing: type I and type II errors
• Sample size calculations
• Estimates and confidence intervals
• Multiple hypothesis testing
• Overview of statistical test with emphasis on the interpretation of the results

Learning objectives

• Have a solid background in basic statistical concepts that will help to critically read and understand the basic statistical content of scientific papers (focusing on clinical trials) with emphasis on interpretation of the results
• Know the steps involved in the design of a study
• Correctly report the results of a statistical analysis

Who should attend

Anyone who is involved in clinical studies:  literature search, planning of clinical studies or writing papers