Joint regression analysis for survival data in the presence of two sets of semi‐competing risks

DOI10.1002/BIMJ.201800137zbMath1429.62587OpenAlexW2950170057WikidataQ92935095 ScholiaQ92935095MaRDI QIDQ5213405

Liming Xiang, Mengjiao Peng

Publication date: 3 February 2020

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.201800137

zbMATH Keywords

copulaproportional hazards modeldependent censoringpseudo-likelihoodsemi-competing risks

Mathematics Subject Classification ID

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

Related Items (3)

Estimation of the Mann-Whitney effect in the two-sample problem under dependent censoring ⋮ Meta-analysis of individual patient data with semi-competing risks under the Weibull joint frailty-copula model ⋮ A pseudo-values regression model for non-fatal event free survival in the presence of semi-competing risks

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