课程简介

Learn fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples.

课程大纲

Hypothesis Testing
Power and sample size and two group tests
Tests for binomial proportions
Two sample binomial tests, delta method
Fisher's exact tests, Chi-squared tests
Simpson's paradox, confounding
Retrospective case-control studies, exact inference for the odds ratio
Methods for matched pairs, McNemar's, conditional versus marginal odds ratios
Non-parametric tests, permutation tests
Inference for Poisson counts
Multiplicity

课程详情

This class presents fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples. Students having taken this class should be able to summarize samples, perform relevant hypothesis tests and perform a collection of two sample comparisons. Classical non-parametric methods and discrete data analysis methods are discussed.  The class is taught at a master's of biostatistics introductory level and requires Mathematical Biostatistics Boot Camp 1 as a prerequisite.