Modelling multiple time-scales with flexible parametric survival models

Modelling multiple time-scales with flexible parametric survival models

Abstract Background There are situations when we need to model multiple time-scales in survival analysis. A usual approach in this setting would involve fitting Cox or Poisson models to a time-split dataset. However, this leads to large datasets and can be computationally intensive when model fittin...

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Bibliographic Details
Main Authors: Nurgul Batyrbekova, Hannah Bower, Paul W. Dickman, Anna Ravn Landtblom, Malin Hultcrantz, Robert Szulkin, Paul C. Lambert, Therese M-L. Andersson
Format: Article
Language:English
Published: BMC 2022-11-01
Series:BMC Medical Research Methodology
Subjects:
Multiple time-scales
Flexible parametric survival models
Time-varying covariate
Matched cohort
Cohort studies
Epidemiological methods
Online Access:https://doi.org/10.1186/s12874-022-01773-9

Internet

https://doi.org/10.1186/s12874-022-01773-9

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