Adapting sample size calculations to repeated measurements in clinical trials

P. J. Lindsey

Journal of Applied Statistics, 2001, vol. 28, issue 1, 81-89

Abstract: Many of the repeated-measures sample size calculation methods presented in the literature are not suitable when: ” the different treatments are assumed to be equal on average at baseline time due to randomization, ” and the experimenters are interested in a pre-specified difference to be detected after a specific time period. The method presented here has been developed for those cases where a multivariate normal distribution can reasonably be assumed. It is likelihood-based and has been designed to be flexible enough to handle repeated-measures models, including a non-linear change in time, and an arbitrary correlation structure.

Date: 2001
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DOI: 10.1080/02664760120011617

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