Semiparametric inference for an accelerated failure time model with dependent truncation

DOI10.1007/s10463-015-0526-9zbMath1400.62218OpenAlexW1234444405MaRDI QIDQ151565

Weijing Wang, Takeshi Emura, Takeshi Emura, Weijing Wang

Publication date: 15 July 2015

Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10463-015-0526-9

zbMATH Keywords

censored regressionsurvival analysisproduct-limit estimatorleft truncationbiased samplinglog-rank testquasi-independence

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Linear regression; mixed models (62J05) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)

Related Items (9)

Weighted rank estimation for nonparametric transformation models with doubly truncated data ⋮ Nonparametric estimation of the survival distribution under covariate‐induced dependent truncation ⋮ Copula-based inference for bivariate survival data with left truncation and dependent censoring ⋮ Cox regression model under dependent truncation ⋮ Permutation tests for general dependent truncation ⋮ Conditional maximum likelihood estimation for semiparametric transformation models with doubly truncated data ⋮ Parametric likelihood inference and goodness-of-fit for dependently left-truncated data, a copula-based approach ⋮ Prediction accuracy measures for time-to-event models with left-truncated and right-censored data ⋮ depend.truncation

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