Semicompeting risks in aging research: methods, issues and needs
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Publication:509854
DOI10.1007/s10985-014-9295-7zbMath1359.62494OpenAlexW2066814063WikidataQ35601731 ScholiaQ35601731MaRDI QIDQ509854
Qian-Li Xue, Ravi Varadhan, Karen J. Bandeen-Roche
Publication date: 21 February 2017
Published in: Lifetime Data Analysis (Search for Journal in Brave)
Full work available at URL: http://europepmc.org/articles/pmc4430119
informative censoringcompeting riskscausal inferencemulti-state modelspotential failure timessemicompeting processes
Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01)
Related Items (5)
Covariate adjustment via propensity scores for recurrent events in the presence of dependent censoring ⋮ Frailty modelling approaches for semi-competing risks data ⋮ Modeling semi‐competing risks data as a longitudinal bivariate process ⋮ Modeling of semi-competing risks by means of first passage times of a stochastic process ⋮ Parametric estimation of association in bivariate failure-time data subject to competing risks: sensitivity to underlying assumptions
Uses Software
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