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 language | English |
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Title of host publication | Research in Applied Statistical Science |
Publisher | Nova Science Publishers, Inc. |
Pages | 11-21 |
Number of pages | 11 |
ISBN (Electronic) | 9781633218192 |
ISBN (Print) | 9781633218185 |
State | Published - 1 Oct 2014 |
Keywords
- Hierarchical models
- Marginal maximum likelihood
- Power analysis
- Type I error rate