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| Duration: | 1 hour |
|---|---|
| Where: | Join us from anywhere! |
| Cost: | Free—but registrations are limited |
This webinar will introduce the concepts and jargon of power and sample size calculations, such as alpha levels, power, and minimum detectable effect sizes. We will do several basic calculations manually and then demonstrate how to replicate these calculations using Stata's power commands. Next we will 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.
The webinar is free, but you must register to attend. Registrations are limited so register soon.
We will send you an email with instructions on how to join prior to the start of the webinar.
Chuck Huber is Director of Statistical Outreach at StataCorp LLC 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. In addition to working with Stata's team of software developers, he produces instructional videos for the Stata YouTube channel, writes blog entries, develops online NetCourses, and gives talks about Stata at conferences and universities. Most of his current work is focused on statistical methods used by behavioral and health scientists. He has published in the areas of neurology, human and animal genetics, alcohol and drug abuse prevention, nutrition, and birth defects. Dr. Huber currently teaches survey sampling at NYU and introductory biostatistics at Texas A&M, where he previously taught categorical data analysis, survey data analysis, and statistical genetics.
