Hosted by the Department of Biostatistics
This workshop is led by Chuck Huber, PhD, Director of Statistical Outreach, STATA Corp
Power and Sample Size 1: The Basics
In this talk I introduce the concepts and jargon of power and sample size calculations such as alpha levels, power, and minimum detectable effect sizes. I do several simple calculations manually and then demonstrate how to replicate these calculations using Stata's -power- commands. Next I demonstrate how to create tables and graphs for power, sample size, and minimum detectable effect sizes for a range of values. We will conclude with a discussion of strategies to increase statistical power.
Power and Sample Size 2: Simulation Methods
This talk is a continuation of Power and Sample Size 1. This talk demonstrates how to calculate power using simulation methods and how to create your own custom power calculation programs that leverage Stata's -power- command to create custom tables and graphs. We will work examples that simulate power for a t-test, the interaction term in a linear regression model, and the interaction term in a multilevel model. Along the way you will learn how to create simulated datasets, use Stata's -simulate- command, and how to write your own Stata commands using -program- and -syntax-.
Chuck Huber, PhD is Director of Statistical Outreach at StataCorp and Adjunct Associate Professor of Biostatistics at the Texas A&M School of Public Health and at the New York University School of Global Public Health. He produces instructional videos for the Stata Youtube channel, writes blog entries, develops online NetCourses and gives talks about Stata at conferences and universities. He has published in the areas of neurology, human and animal genetics, alcohol and drug abuse prevention, nutrition and birth defects.
This workshop is open to NYU GPH students and faculty only.