An Estimating Function Approach to the Analysis of Recurrent and Terminal Events

DOI10.1111/biom.12025zbMath1274.62802OpenAlexW1549415721WikidataQ36955021 ScholiaQ36955021MaRDI QIDQ2846443

Yining Ye, Douglas E. Schaubel, Qi Gong, John D. Kalbfleisch

Publication date: 5 September 2013

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3692576

zbMATH Keywords

frailtyrelative risksemiparametric methodsmultivariate survivalcox modelmarginal rate function

Mathematics Subject Classification ID

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

Related Items (13)

A class of transformation rate models for recurrent event data ⋮ A joint modeling approach for analyzing marker data in the presence of a terminal event ⋮ Joint modeling of generalized scale-change models for recurrent event and failure time data ⋮ The Cox–Aalen model for recurrent‐event data with a dependent terminal event ⋮ Incorporating delayed entry into the joint frailty model for recurrent events and a terminal event ⋮ A Bayesian joint model of recurrent events and a terminal event ⋮ A semiparametric additive rates model for the weighted composite endpoint of recurrent and terminal events ⋮ A class of partially linear transformation models for recurrent gap times ⋮ Semiparametric temporal process regression of survival-out-of-hospital ⋮ Joint analysis of recurrent event data with additive-multiplicative hazards model for the terminal event time ⋮ Conditional Modeling of Longitudinal Data With Terminal Event ⋮ Time-dependent prognostic score matching for recurrent event analysis to evaluate a treatment assigned during follow-up ⋮ Two‐stage estimation for multivariate recurrent event data with a dependent terminal event

Cites Work

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