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In this workshop, we will provide a brief review of the concepts underlying power and sample size analysis. Following this, we will use R for hands-on programming practice with power and sample size calculations for several different types of analyses, including parametric and nonparametric tests using both analytical and simulation approaches.
Become familiar with concepts such as type I and II error, effect sizes, and confidence intervals
Know how to do power and sample size calculations for several common study designs and tests
Know how to use simulations for more complex analyses
A basic understanding of statistics and the purpose of doing power and sample size calculations, and familiarity with R programming will be helpful but not required.
If you want to follow the R coding exercises presented during this workshop, please install R and RStudio beforehand.
Workshop materials will be available online here by the time the workshop begins, and will be available afterwards.
Alan Paciorek is a Biostatistician and a Programmer Analyst at the Helen Diller Family Comprehensive Cancer Center and the Dept. of Epidemiology & Biostatistics
Karla Lindquist is the Scientific Lead for the Library's Data Science Initiative
Related LibGuide: Bioinformatics and Statistics Resources by Karla Lindquist
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You will receive an email from LibCal with a Zoom link prior to the start of the workshop.