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

Feng Gao, Amita K. Manatunga, Shande Chen

Research output: Contribution to journalArticle

2 Scopus citations

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.

Original languageEnglish
Pages (from-to)61-67
Number of pages7
JournalComputer Methods and Programs in Biomedicine
Volume78
Issue number1
DOIs
StatePublished - 1 Apr 2005

Keywords

  • FORTRAN
  • Multivariate survival data
  • Power
  • Sample size

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