Proportional Hazards Regression for the Analysis of Clustered Survival Data from Case-Cohort Studies

DOI10.1111/j.1541-0420.2010.01445.xzbMath1216.62183OpenAlexW1967190811WikidataQ33609109 ScholiaQ33609109MaRDI QIDQ3008852

Hui Zhang, Douglas E. Schaubel, John D. Kalbfleisch

Publication date: 22 June 2011

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4458467

zbMATH Keywords

survival analysisCox modelclustered dataestimating equationrobust variance

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Medical applications (general) (92C50) Estimation in survival analysis and censored data (62N02)

Related Items

Outcome-dependent sampling design and inference for Cox's proportional hazards model, Nonparametric tests for multistate processes with clustered data, Multiplicative rates model for recurrent events in case-cohort studies, Joint Semiparametric Models for Case-Cohort Designs, Additive hazard regression for the analysis of clustered survival data from case-cohort studies, Pseudo-likelihood for case–cohort studies under length-biased sampling, Case-cohort analysis of clusters of recurrent events, Efficient Estimation of Semiparametric Transformation Models for Two-Phase Cohort Studies, Generalized accelerated failure time model with censored data from case-cohort studies

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