Sample size determination for cluster randomization phase II trials of dichotomous data |
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Authors: | Kung-Jong Lui Chii-Dean Lin |
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Institution: | aDepartment of Mathematics and Statistics, College of Sciences, San Diego State University, San Diego, CA 92182-7720, USA |
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Abstract: | One of the main goals for a phase II trial is to screen and select the best treatment to proceed onto further studies in a phase III trial. Under the flexible design proposed elsewhere, we discuss for cluster randomization trials sample size calculation with a given desired probability of correct selection to choose the best treatment when one treatment is better than all the others. We develop exact procedures for calculating the minimum required number of clusters with a given cluster size (or the minimum number of patients with a given number of repeated measurements) per treatment. An approximate sample size and the evaluation of its performance for two arms are also given. To help readers employ the results presented here, tables are provided to summarize the resulting minimum required sample sizes for cluster randomization trials with two arms and three arms in a variety of situations. Finally, to illustrate the sample size calculation procedures developed here, we use the data taken from a cluster randomization trial to study the association between the dietary sodium and the blood pressure. |
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Keywords: | Cluster randomization trial Flexible design Phase II Beta-binomial distribution Intraclass correlation Repeated measurements |
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