| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10345729 | Computer Methods and Programs in Biomedicine | 2005 | 7 Pages |
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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Authors
Feng Gao, Amita K. Manatunga, Shande Chen,