Sample size determination for between group comparisons in mixed-effects logistic regression models for analysis of longitudinal data

Dulal K. Bhaumik, Subhash Aryal, Anup Amatya, Kush Kapur

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In this article we consider the problem of sample size determination for two-level mixed-effects logistic regression models for the analysis of longitudinal data. In this case, level 1 represents measurement occasion and level 2 represents subject. We provide an algorithm for sample size requirements (i.e., power characteristics) for a test of the treatment-by-time interaction and overall time trend that strictly maintains the type I error rate close to the nominal level. The methodology is illustrated both via simulation and an example from a now classic psychiatric randomized clinical trial.

Original languageEnglish
Title of host publicationResearch in Applied Statistical Science
PublisherNova Science Publishers, Inc.
Pages11-21
Number of pages11
ISBN (Electronic)9781633218192
ISBN (Print)9781633218185
StatePublished - 1 Oct 2014

Keywords

  • Hierarchical models
  • Marginal maximum likelihood
  • Power analysis
  • Type I error rate

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    Bhaumik, D. K., Aryal, S., Amatya, A., & Kapur, K. (2014). Sample size determination for between group comparisons in mixed-effects logistic regression models for analysis of longitudinal data. In Research in Applied Statistical Science (pp. 11-21). Nova Science Publishers, Inc..