Case‐Cohort Designs and Analysis for Clustered Failure Time Data

DOI10.1111/j.1541-0420.2006.00584.xzbMath1114.62121OpenAlexW1993910760WikidataQ31083726 ScholiaQ31083726MaRDI QIDQ5295375

Andjoanna H. Shih, Shou-En Lu

Publication date: 27 July 2007

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2006.00584.x

zbMATH Keywords

pseudo-likelihoodcost-effective designs

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (13)

An additive hazards frailty model with semi-varying coefficients ⋮ Recent progresses in outcome-dependent sampling with failure time data ⋮ Regression analysis for the proportional hazards model with parameter constraints under case-cohort design ⋮ Multiplicative rates model for recurrent events in case-cohort studies ⋮ Multivariate survival analysis in big data: A divide‐and‐combine approach ⋮ Additive hazard regression for the analysis of clustered survival data from case-cohort studies ⋮ Pseudo-likelihood for case–cohort studies under length-biased sampling ⋮ Proportional Hazards Regression for the Analysis of Clustered Survival Data from Case-Cohort Studies ⋮ Additive-multiplicative hazards model for case-cohort studies with multiple disease outcomes ⋮ Case-cohort analysis of clusters of recurrent events ⋮ Efficient Estimation of Semiparametric Transformation Models for Two-Phase Cohort Studies ⋮ Marginal Hazards Regression for Retrospective Studies within Cohort with Possibly Correlated Failure Time Data ⋮ Generalized accelerated failure time model with censored data from case-cohort studies

Cites Work

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• Asymptotic distribution theory and efficiency results for case-cohort studies
• Some recent developments for regression analysis of multivariate failure time data
• Computing the Cox model for case cohort designs
• Exposure stratified case-cohort designs
• Analysis of multivariate survival data
• Fitting semiparametric transformation regression models to data from a modified case-cohort design
• Weighted estimating equations for semiparametric transformation models with censored data from a case-cohort design
• A case-cohort design for epidemiologic cohort studies and disease prevention trials
• Alternative variance and efficiency calculations for the case-cohort design
• Bivariate Survival Models Induced by Frailties
• Comparing two failure time distributions in the presence of dependent censoring
• Inference and missing data
• Cox Regression with Incomplete Covariate Measurements
• Weighted Semiparametric Likelihood Method for Fitting a Proportional Odds Regression Model to Data From the Case-Cohort Design
• Robust Variance Estimation for the Case-Cohort Design
• Case-cohort and case-control analysis with Cox's model
• Competing risks analysis of the case-cohort design
• Additive hazards regression for case-cohort studies

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