Joint modeling approach for semicompeting risks data with missing nonterminal event status

DOI10.1007/S10985-013-9288-YzbMath1359.62477OpenAlexW2074954679WikidataQ30734501 ScholiaQ30734501MaRDI QIDQ509857

Chen Hu, Alex Tsodikov

Publication date: 21 February 2017

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

Full work available at URL: http://europepmc.org/articles/pmc4101077

zbMATH Keywords

eventsurvival analysisproportional hazardsdependent censoringmultistate modelmissing nonterminalsemicompeting risks data

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Censored data models (62N01)

Related Items (2)

Semiparametric time‐to‐event modeling in the presence of a latent progression event ⋮ A joint model of cancer incidence, metastasis, and mortality

Uses Software

• cmprsk

Cites Work

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