Capturing simple and complex time-dependent effects using flexible parametric survival models: A simulation study

DOI10.1080/03610918.2019.1634201zbMath1497.62020OpenAlexW2957887789WikidataQ127534329 ScholiaQ127534329MaRDI QIDQ5082814

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Publication date: 21 June 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2019.1634201

zbMATH Keywords

simulationmodel selectionnon-proportional hazardsflexible parametric modeltime-dependent effect

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Statistical aspects of information-theoretic topics (62B10) Reliability and life testing (62N05)

Uses Software

• Stata
• gss
• stgenreg
• SURVSIM
• strcs

Cites Work

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• On predictive least squares principles
• Estimating the dimension of a model
• Bootstrapping log likelihood and EIC, an extension of AIC
• Bayesian model averaging: A tutorial. (with comments and a rejoinder).
• Information criteria: how do they behave in different models?
• Proportional hazards tests and diagnostics based on weighted residuals
• Generalised information criteria in model selection
• Time-Dependent Hazard Ratio: Modeling and Hypothesis Testing With Application in Lupus Nephritis
• Model Selection and Multimodel Inference
• Bayesian Measures of Model Complexity and Fit
• A New Proposal for Multivariable Modelling of Time‐Varying Effects in Survival Data Based on Fractional Polynomial Time‐Transformation
• The use of restricted cubic splines to approximate complex hazard functions in the analysis of time-to-event data: a simulation study
• On Information and Sufficiency