Weighted Likelihood Method for Grouped Survival Data in Case–Cohort Studies with Application to HIV Vaccine Trials

DOI10.1111/J.1541-0420.2008.00998.XzbMath1151.62089OpenAlexW2118379049WikidataQ33386994 ScholiaQ33386994MaRDI QIDQ3549420

Peter B. Gilbert, Bin Nan, Zhiguo Li

Publication date: 22 December 2008

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://biostats.bepress.com/cgi/viewcontent.cgi?article=1070&context=umichbiostat

zbMATH Keywords

interval censoringproportional hazards modelweighted likelihoodHIV vaccine trialcase cohort designrandom dropout

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)

Related Items (7)

Analysis of two-phase sampling data with semiparametric additive hazards models ⋮ Recent progresses in outcome-dependent sampling with failure time data ⋮ Semiparametric inference for a two-stage outcome-dependent sampling design with interval-censored failure time data ⋮ Additive hazards regression with case-cohort sampled current status data ⋮ A semi-parametric weighted likelihood approach for regression analysis of bivariate interval-censored outcomes from case-cohort studies ⋮ Outcome-dependent sampling with interval-censored failure time data ⋮ Relative risk regression for current status data in case-cohort studies

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• Improving the Efficiency of Relative-Risk Estimation in Case-Cohort Studies

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