Clinical Statistics for Non-Statisticians (Part 2 of 2)
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LEARNING OBJECTIVES – Part 2
Statistical analysis in clinical trials
– Null/alternative hypotheses
– Statistical assumptions (type I error, significance level, type II error, statistical power,)
– Hypothesis testing
– Statistical tests
Statistics used in RCTs
– Type of outcome measures (dichotomous, continuous, time-to-event)
– Statistics used for analysis of dichotomous data (relative risk, odds ratio, risk difference, NNT)
– Analysis of time-to-event variables (plotting and interpretation of Kaplan-Meier curves)
