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