Analysis of Failure Time Data with Multilevel Clustering, with Application to the Child Vitamin A Intervention Trial in Nepal

DOI10.1111/j.1541-0420.2007.00756.xzbMath1128.62119OpenAlexW2106918047WikidataQ31126586 ScholiaQ31126586MaRDI QIDQ5434892

Joanna H. Shih, Shou-En Lu

Publication date: 14 January 2008

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2007.00756.x

zbMATH Keywords

frailtywithin-cluster resamplingmultilevel clustered failure time data

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)

Related Items (3)

Estimation of the association parameters in hierarchically clustered survival data by nested Archimedean copula functions ⋮ Semiparametric estimation of a nested random effects model for the analysis of multi-level clustered failure time data ⋮ A two-stage estimation in the Clayton-Oakes model with marginal linear transformation models for multivariate failure time data

Cites Work

• Parametric families of multivariate distributions with given margins
• A two-stage estimator of the dependence parameter for the Clayton-Oakes model
• Assessing gamma frailty models for clustered failure time data
• Within-cluster resampling
• Biased estimates of treatment effect in randomized experiments with nonlinear regressions and omitted covariates
• Survival models for heterogeneous populations derived from stable distributions
• Bivariate Survival Models Induced by Frailties
• Modelling failure-time associations in data with multiple levels of clustering
• Checking the marginal Cox model for correlated failure time data
• Checking the adequacy of the gamma frailty model for multivariate failure times
• Checking the Cox model with cumulative sums of martingale-based residuals
• Inferences on the Association Parameter in Copula Models for Bivariate Survival Data
• A Nested Frailty Model for Survival Data, With an Application to the Study of Child Survival in Northeast Brazil
• Random effects Cox models: A Poisson modelling approach
• Marginal Regression Models for Multivariate Failure Time Data

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