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Testing Statistical Hypotheses

June 10, 2013
Biostatistics and Bioinformatics Short Course

Presented by Min Shi


 

Time: 1:00 PM - 2:30 PM


Room: NIEHS Rall 101A

 

Abstract: An approximate list of topics: Formulation of null and alternative hypotheses. Power and sample size calculations. Some common parametric and nonparametric tests. Resampling based methods: Permutation tests, bootstrap methodology. Basic principles of multiple hypothesis testing:

  1. Two common notions of false positive rates - family wise error rate (FWER) and false discovery rate (FDR).
  2. Common methods for controlling FWER and FDR.
    • PowerPoint slides for the course available here in pdf (615KB) . Right-Click to download the PDF file.

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