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Power & Sample Size Workshop Online


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.

Learning Objectives

  • 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 create power and sample size plots from grid searches
  • 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.

   Install R
   Install RStudio


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

Wednesday, Dec 9 2020
10:00am - 1:00pm
Time Zone:
Pacific Time - US & Canada (change)
  Data Science Initiative  
This is an online event. Event URL will be sent via registration email.
Registration has closed.

Event Organizer

Profile photo of Karla Lindquist
Karla Lindquist