This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 360
Type: Contributed
Date/Time: Tuesday, August 3, 2010 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract - #308844
Title: Sample-Size Estimation for the Interaction Between Two Binary Covariates in a Cox Proportional Hazard Regression Model
Author(s): Abu Minhajuddin*+ and Xian-Jin Xie
Companies: The University of Texas Southwestern Medical Center at Dallas and The University of Texas Southwestern Medical Center at Dallas
Address: 5323 Harry Hines Blvd, Dallas, TX, 75390,
Keywords: Cox Regression ; Proportional Hazard ; Hazard Ratio ; Interaction effect ; Simulation
Abstract:

Statistical literature is sparse for estimating sample size for an interaction effect between two binary covariates in a Cox proportional hazard regression model. Also, researchers are often times interested in estimating sample size required to detect a specific hazard ratio in a Cox regression analysis. This article presents a simulation based approach to estimate the sample size required to detect the interaction between two binary covariates in a Cox regression model. The method is simple to implement and gives an estimate of the sample size needed to detect a specific hazard ratio. The results are compared to sample size estimation methods available in the literature.


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