JSM 2015 Preliminary Program

Online Program Home
My Program

Abstract Details

Activity Number: 175
Type: Contributed
Date/Time: Monday, August 10, 2015 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract #314954 View Presentation
Title: Estimating Power for Interaction Tests in Logistic Regression: A Case Study of Tobacco Cessation Among Cancer Survivors
Author(s): Zoran Bursac* and D. Keith Williams and C. Heath Gauss and Bob Klesges
Companies: University of Tennessee Health Science Center and University of Arkansas for Medical Sciences and University of Arkansas for Medical Sciences and University of Tennessee Health Science Center
Keywords: Logistic regression ; Power ; Sample size ; Interaction
Abstract:

At the present time, researchers are limited in available methods to conduct power analysis for an interaction term between two main variables of interest in a study that utilizes logistic regression. We propose a method and a SAS macro tool for estimating the power for the beta coefficient associated with an interaction term in a logistic regression model. This method empirically calculates the power for an interaction term, based on cell counts from a 2x2x2 table, and several other intuitive input parameters. We illustrate the method with an example from an RCT of tobacco cessation among cancer survivors, which investigates interaction between two-level treatment assignment and cancer staging.


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

Back to the full JSM 2015 program





For program information, contact the JSM Registration Department or phone (888) 231-3473.

For Professional Development information, contact the Education Department.

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

2015 JSM Online Program Home