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Adapting sample size calculations to repeated measurements in clinical trials

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  • P. J. Lindsey

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.

Suggested Citation

  • P. J. Lindsey, 2001. "Adapting sample size calculations to repeated measurements in clinical trials," Journal of Applied Statistics, Taylor & Francis Journals, vol. 28(1), pages 81-89.
    • Handle: RePEc:taf:japsta:v:28:y:2001:i:1:p:81-89
    DOI: 10.1080/02664760120011617
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