Power Analyses for Detecting Effects for Multiple Coefficients in Regression. (June 2014)

• Record Type: Journal Article
• Authors: Aberson, Christopher L.
• Is Part Of: Stata journal. Volume 14:Number 2(2014)
• Page Start: 389
• Page End: 397
• Publication Date: 2014-06
• Subjects: st0342 -- powermr3 -- powersim3 -- powersim3 simulator -- statistical power -- corr2data -- simulate -- Monte Carlo; Statistics -- Periodicals; Statistics -- Computer programs -- Periodicals; 001.422
• DOI: 10.1177/1536867X1401400210
• Languages: English
• ISSNs: 1536-867X

Abstract

I present applications of Stata to conduct power analysis for multiple regression. Simple power analyses are provided through the Stata commandpower and the user-written commandpowerreg . However, tools for power analysis for multiple regression coefficients are limited. I present strategies for detecting significant regression coefficients in a single study (for example, power estimates for two or more coefficients). I also address the power for detecting multiple effects (that is, the probability that all coefficients are statistically significant) in the same sample through the Monte Carlo approaches afforded by thesimulate command.