A competing risks approach to ``biologic interaction

DOI10.1007/s10985-015-9318-zzbMath1322.62302OpenAlexW1974652009WikidataQ41541585 ScholiaQ41541585MaRDI QIDQ747364

Anders Skrondal, Per Kragh Andersen

Publication date: 16 October 2015

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

Full work available at URL: https://doi.org/10.1007/s10985-015-9318-z

zbMATH Keywords

monotonicityinteractioncompeting risksregression modeladditive rate modelnecessary and sufficient causes

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Reliability and life testing (62N05) Medical epidemiology (92C60)

Related Items (1)

The pseudo-observation analysis of time-to-event data. Example from the Danish Diet, Cancer and Health Cohort illustrating assumptions, model validation and interpretation of results

Uses Software

• timereg

Cites Work

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• On Estimation in Relative Survival
• Regression with linear predictors. With 171 illustrations by Therese Graversen.
• Dynamic regression models for survival data.
• Stochastic counterfactuals and stochastic sufficient causes
• Empirical and counterfactual conditions for sufficient cause interactions
• Estimation of Excess Risk from Case-Control Data Using Aalen's Linear Regression Model
• Statistical models based on counting processes

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