Sample Size Determination for Longitudinal Designs with Binary Response. Kapur, K., Bhaumik, R., Charlene Tang, X., Hur, K., Reda, D. J., & Bhaumik, D. K. Stat Med, 33(22):3781-3800, September, 2014.
doi  abstract   bibtex   
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.
@article{kap14sam,
  title = {Sample Size Determination for Longitudinal Designs with Binary Response},
  volume = {33},
  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.},
  number = {22},
  journal = {Stat Med},
  doi = {10.1002/sim.6203},
  author = {Kapur, Kush and Bhaumik, Runa and Charlene Tang, X. and Hur, Kwan and Reda, Domenic J. and Bhaumik, Dulal K.},
  month = sep,
  year = {2014},
  keywords = {sample-size,study-design,longitudinal-data,serial-data,mixed-effects-model},
  pages = {3781-3800},
  citeulike-article-id = {13448111},
  citeulike-attachment-1 = {kap14sam.pdf; /pdf/user/harrelfe/article/13448111/996103/kap14sam.pdf; 5631fa37d3e83cacf197dc94de3aee92aa3ef6d9},
  citeulike-linkout-0 = {http://dx.doi.org/10.1002/sim.6203},
  day = {30},
  posted-at = {2014-11-29 16:03:42},
  priority = {2}
}

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