The use of restricted cubic splines to approximate complex hazard functions in the analysis of time-to-event data: a simulation study

DOI10.1080/00949655.2013.845890zbMath1457.62026OpenAlexW2080076121WikidataQ61873334 ScholiaQ61873334MaRDI QIDQ5220754

Michael J. Crowther, Mark J. Rutherford, Paul C. Lambert

Publication date: 27 March 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2013.845890

zbMATH Keywords

simulationsurvival analysisflexible parametric modelsrestricted cubic splines

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08)

Related Items (2)

Capturing simple and complex time-dependent effects using flexible parametric survival models: A simulation study ⋮ Semiparametric regression with the U-shaped baseline hazard function in the additive hazards model under general censoring mechanisms

Uses Software

• Stata
• SURVSIM
• dydx
• STMIX

Cites Work

• Survival estimation through the cumulative hazard function with monotone natural cubic splines
• Bounded optimal knots for regression splines
• Hazard Function Estimation Using B-Splines
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