Semiparametric regression analysis of length‐biased interval‐censored data

DOI10.1111/biom.12970zbMath1436.62554OpenAlexW2893744948WikidataQ91865682 ScholiaQ91865682MaRDI QIDQ5214451

Fei Gao, Kwun Chuen Gary Chan

Publication date: 7 February 2020

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/biom.12970

zbMATH Keywords

proportional hazards modelsemiparametric efficiencyleft truncationnonparametric maximum likelihood estimation

Mathematics Subject Classification ID

Density estimation (62G07) Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01)

Related Items (4)

Inference on semi-parametric transformation model with a pairwise likelihood based on left-truncated and interval-censored data ⋮ A pairwise pseudo‐likelihood approach for left‐truncated and interval‐censored data under the Cox model ⋮ The expectation-maximization approach for Bayesian additive Cox regression with current status data ⋮ Combined estimating equation approaches for the additive hazards model with left-truncated and interval-censored data

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