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MSurvPow: a FORTRAN program to calculate the sample size and power for cluster-randomized clinical trials with
Feng Gao1, Amita K Manatunga, Shande Chen
1Division of Biostatistics, Washington University School of Medicine, St. Louis, MO 63110, USA. feng@wubios.wustl.edu
Abstract:
Manatunga and Chen [A.K. Manatunga, S. Chen, Sample size estimation for survival outcomes in cluster-randomized studies with small cluster sizes, Biometrics 56 (2000) 616-621] proposed a method to estimate sample size and power for cluster-randomized studies where the primary outcome variable was survival time. The sample size formula was constructed by considering a bivariate marginal distribution (Clayton-Oakes model) with univariate exponential marginal distributions. In this paper, a user-friendly FORTRAN 90 program was provided to implement this method and a simple example was used to illustrate the features of the program.
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