A pairwise pseudo‐likelihood approach for left‐truncated and interval‐censored data under the Cox model

DOI10.1111/BIOM.13394zbMath1520.62359OpenAlexW3092844498WikidataQ100565068 ScholiaQ100565068MaRDI QIDQ6055487

Peijie Wang, Danning Li, Jianguo Sun

Publication date: 30 October 2023

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/biom.13394

zbMATH Keywords

interval censoringproportional hazards modelleft truncationpairwise pseudo-likelihood

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (5)

Inference on semi-parametric transformation model with a pairwise likelihood based on left-truncated and interval-censored data ⋮ An EM algorithm for estimating the parameters of the multivariate skew-normal distribution with censored responses ⋮ Variable Selection for Interval‐censored Failure Time Data ⋮ A flexible parametric approach for analyzing arbitrarily censored data that are potentially subject to left truncation under the proportional hazards model ⋮ Combined estimating equation approaches for the additive hazards model with left-truncated and interval-censored data

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