Sample size determination for longitudinal designs with binary response
Abstract
In this article, we develop appropriate statistical methods for determining the required sample size while comparing the efficacy of an intervention to a control with repeated binary response outcomes. Our proposed methodology incorporates the complexity of the hierarchical nature of underlying designs and provides solutions when varying attrition rates are present over time. We explore how the between‐subject variability and attrition rates jointly influence the computation of sample size formula. Our procedure also shows how efficient estimation methods play a crucial role in power analysis. A practical guideline is provided when information regarding individual variance component is unavailable. The validity of our methods is established by extensive simulation studies. Results are illustrated with the help of two randomized clinical trials in the areas of contraception and insomnia. Copyright © 2014 John Wiley & Sons, Ltd.
Citing Literature
Number of times cited according to CrossRef: 4
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- Ying Lou, Jing Cao, Song Zhang, Chul Ahn, Sample size estimation for a two-group comparison of repeated count outcomes using GEE, Communications in Statistics - Theory and Methods, 10.1080/03610926.2015.1134572, 46, 14, (6743-6753), (2016).
- Toshiro Tango, On the repeated measures designs and sample sizes for randomized controlled trials, Biostatistics, 10.1093/biostatistics/kxv047, 17, 2, (334-349), (2015).
