Statistic - Introductory Biostatistics for Clinical Research - an experiential learning course

Internal event (Department/Institute)

Module Basic Research

Basics of research studies, types of data, measures of location and spread, graphics, correlation Session Basics of probability including conditional probability, diagnostic tests, Bayes Rule; data manipulation in Stata

Day 1

Session 1 & 2: Basics of research studies, types of data, measures of location and spread, graphics, correlation Session

3 & 4: Basics of probability including conditional probability, diagnostic tests, Bayes Rule; data manipulation in Stata

Day 2

Session 5 & 6: Sampling, discrete densities including the binomial and Poisson distributions, continuous densities including the normal

Session 7 & 8: Expected value, estimation, central limit theorem, confidence intervals

Day 3

Session 9 & 10: Hypothesis tests, p-values, one and two sample comparisons of means

Session 11 & 12: Analysis of variance, F-distribution, multiple testing

Session 13 & 14: Nonparametric tests, permutation tests

Day 4

Session 15 & 16: Inference on proportions

Session 17 & 18: Contingency tables, chi-square test, Fisher’s exact test, paired data

Session 19 & 20: Correlation and introduction to linear regression

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