MSurvPow: a FORTRAN program to calculate the sample size and power for cluster-randomized clinical trials with survival outcomes.

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.

authors

Gao F,Manatunga AK,Chen S

doi

10.1016/j.cmpb.2004.11.004

subject

Has Abstract

pub_date

2005-04-01 00:00:00

pages

61-7

issue

1

eissn

0169-2607

issn

1872-7565

pii

S0169-2607(05)00003-9

journal_volume

78

pub_type

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