Frailty modelling approaches for semi-competing risks data

DOI10.1007/s10985-019-09464-2zbMath1437.62364OpenAlexW2912940393WikidataQ91413338 ScholiaQ91413338MaRDI QIDQ2176312

Liming Xiang, Mengjiao Peng, Jong-Hyeon Jeong, Youngjo Lee, Il Do Ha

Publication date: 4 May 2020

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: https://hdl.handle.net/10356/142822

zbMATH Keywords

marginal likelihoodfrailty modelssemi-competing riskshierarchical likelihoodmodified likelihoodcensor

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Measures of association (correlation, canonical correlation, etc.) (62H20) Censored data models (62N01)

Related Items (5)

A review on recent advances and applications of h-likelihood method ⋮ Unified semicompeting risks analysis of hepatitis natural history through mediation modeling ⋮ A review of h-likelihood for survival analysis ⋮ Inference on win ratio for cluster-randomized semi-competing risk data ⋮ A pseudo-values regression model for non-fatal event free survival in the presence of semi-competing risks

Uses Software

• invGauss

Cites Work

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