title: Sample size estimation for survival outcomes in cluster-randomized studies with small cluster sizes.
abstract: We present a method for computing sample size for cluster-randomized studies involving a large number of clusters with relatively small numbers of observations within each cluster. For multivariate survival data, only the marginal bivariate distribution is assumed to be known. The validity of this assumption is also discussed.
authors.affiliation: The Rollins School of Public Health of Emory University, Atlanta, Georgia 30322, USA. amanatu@sph.emory.edu
authors.forename: A K
authors.initials: AK
authors.lastname: Manatunga
authors.forename: S
authors.initials: S
authors.lastname: Chen
mesh_terms: D000704:Analysis of Variance; D001699:Biometry / Q000379:methods; D016000:Cluster Analysis; D006801:Humans; D015999:Multivariate Analysis; D016016:Proportional Hazards Models; D016032:Randomized Controlled Trials as Topic / Q000379:methods*; D018401:Sample Size; D015996:Survival Rate