Semiparametric regression for discrete time-to-event data

DOI10.1177/1471082X17748084OpenAlexW2964049869MaRDI QIDQ5142211

Moritz Berger, Matthias Schmid

Publication date: 30 December 2020

Published in: Statistical Modelling (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1704.04087

zbMATH Keywords

survival analysissemiparametric regressionhazard modelsdiscrete time-to-event data

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items

Semiparametric analysis of recurrent discrete time data with competing risks, Flexible tree-structured regression models for discrete event times, Modeling Postoperative Mortality in Older Patients by Boosting Discrete-Time Competing Risks Models, Tree-based modeling of time-varying coefficients in discrete time-to-event models, A generalized additive model approach to time-to-event analysis, Boosting for statistical modelling-A non-technical introduction, Discrete-time survival forests with Hellinger distance decision trees, A classification tree approach for the modeling of competing risks in discrete time

Uses Software

• R
• rpart
• mgcv
• gamair
• Ecdat
• discSurv
• DStree

Cites Work

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• A generalized additive model approach to time-to-event analysis
• Boosting for statistical modelling-A non-technical introduction
• Machine Learning: ECML 2003