Case-cohort studies with interval-censored failure time data
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Publication:5384440
DOI10.1093/BIOMET/ASW067zbMath1506.62472OpenAlexW2585210588WikidataQ47930857 ScholiaQ47930857MaRDI QIDQ5384440
Jianwen Cai, Qingning Zhou, Haibo Zhou
Publication date: 24 June 2019
Published in: Biometrika (Search for Journal in Brave)
Full work available at URL: http://europepmc.org/articles/pmc5608290
sieve methodproportional hazards modelcase-cohort designweighted likelihoodmissing covariatesinterval-censoring
Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)
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Variable selection for case-cohort studies with informatively interval-censored outcomes ⋮ Robust sieve M-estimation with an application to dimensionality reduction ⋮ Semiparametric inference for a two-stage outcome-dependent sampling design with interval-censored failure time data ⋮ Variable Selection for Interval‐censored Failure Time Data ⋮ A semi-parametric weighted likelihood approach for regression analysis of bivariate interval-censored outcomes from case-cohort studies ⋮ Estimation of complier causal treatment effects under the case–cohort studies with interval-censored failure time data ⋮ Outcome-dependent sampling with interval-censored failure time data ⋮ Regression analysis of case-cohort studies in the presence of dependent interval censoring
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