A spline-based framework for the flexible modelling of continuously observed multistate survival processes
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Publication:6669944
DOI10.1177/1471082X231176120MaRDI QIDQ6669944
Alessia Eletti, Giampiero Marra, Rosalba Radice
Publication date: 22 January 2025
Published in: Statistical Modelling (Search for Journal in Brave)
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Flexible Nonhomogeneous Markov Models for Panel Observed Data
- Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
- Parametric inference for time-to-failure in multi-state semi-Markov models: A comparison of marginal and process approaches
- Link-Based Models for Survival Data with Interval and Continuous Time Censoring
- A New Proposal for Multivariable Modelling of Time‐Varying Effects in Survival Data Based on Fractional Polynomial Time‐Transformation
- Copula Link-Based Additive Models for Right-Censored Event Time Data
- Generalized monotonic regression based on B-splines with an application to air pollution data
- Markov Renewal Processes: Definitions and Preliminary Properties
- Shape constrained additive models
- A unifying framework for flexible excess hazard modelling with applications in cancer epidemiology
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