Bayesian Determination of Sample Size in Longitudinal Studies with Binary Responses Using Random Effects Models

Sample size determination is important in all statistical studies including longitudinal studies. This is usually done by considering a target power to reduce the costs of sampling. Choosing the right sample size using efficient methods, ensures that the researcher achieve goal of the study, by spending the least amount of energy, time and money. In this article, using a method based on simulation and Bayesian power criterion, we determine the number of size required in longitudinal studies with binary responses, from a Bayesian point of view. Finally, mentioning a practical example, the proposed method is used.