Online Program Home
  My Program

All Times EDT

Abstract Details

Activity Number: 387 - Software
Type: Contributed
Date/Time: Thursday, August 12, 2021 : 12:00 PM to 1:50 PM
Sponsor: Section on Statistical Computing
Abstract #319139
Title: Tidy Simulation and Power Analyses
Author(s): Brandon LeBeau*
Companies: University of Iowa
Keywords: power; simulation; simglm; R
Abstract:

Power analyses are commonly needed to secure external funding from Federal, State, or local agencies. Many current software implementations for power analyses make assumptions in order for the calculations to be mathematically possible. Unfortunately, the data collected commonly do not meet the assumptions typically made within software used for power analyses. A more flexible and possibly more accurate power analysis framework can be achieved through Monte Carlo simulation. This presentation aims to introduce the benefits and flexibility achieved when conducting a power analysis under a Monte Carlo framework. The presentation will focus specifically on power analyses for general(-ized) linear (mixed) models using an R package called simglm (https://github.com/lebebr01/simglm). This package allows for flexible specification of data simulation conditions that may better approximate real data conditions. In addition, the package allows for the varying of data generating conditions, model fitting conditions, and others to explore impact of specific data characteristics on the empirical power.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2021 program