Adapting sample size calculations to repeated measurements in clinical trials |
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Authors: | P. J. Lindsey |
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Affiliation: | a Biostatistics, Limburgs Universitair Centrum, Diepenbeek, Belgium. |
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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. |
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