Proportional hazards models based on biased samples and estimated selection probabilities

DOI10.1002/CJS.5550360111zbMath1143.62064OpenAlexW2010210508MaRDI QIDQ3517422

Douglas E. Schaubel, Qing Pan

Publication date: 12 August 2008

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/cjs.5550360111

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) Sampling theory, sample surveys (62D05) Estimation in survival analysis and censored data (62N02)

Related Items (9)

Evaluating bias correction in weighted proportional hazards regression ⋮ Semiparametric methods for survival analysis of case-control data subject to dependent censoring ⋮ Robust estimation for generalized case–cohort design under the proportional hazards model ⋮ Statistical inference for the additive hazards model under outcome-dependent sampling ⋮ Duration analysis in longitudinal studies with intermittent observation times and losses to followup ⋮ Outcomes matter: estimating pre-transplant survival rates of kidney-transplant patients using simulator-based propensity scores ⋮ Estimating Differences in Restricted Mean Lifetime Using Observational Data Subject to Dependent Censoring ⋮ Statistical inference for Cox model under case-cohort design with subgroup survival information ⋮ Landmark estimation of survival and treatment effects in observational studies

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