A Gamma-frailty proportional hazards model for bivariate interval-censored data

DOI10.1016/j.csda.2018.07.016zbMath1469.62065OpenAlexW2886827514WikidataQ90216010 ScholiaQ90216010MaRDI QIDQ1796967

Wanzhu Tu, Prabhashi W. Withana Gamage, Christopher S. McMahan, Lianming Wang

Publication date: 17 October 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc6474689

zbMATH Keywords

EM algorithmsurvival analysisproportional hazards modelmultivariate regressionmonotone splinesinterval-censored dataPoisson latent variablesGamma-frailty

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01)

Related Items (2)

Simultaneous variable selection in regression analysis of multivariate interval‐censored data ⋮ A semiparametric joint model for cluster size and subunit‐specific interval‐censored outcomes

Uses Software

• bayesSurv

Cites Work

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