Penalised maximum likelihood estimation in multi-state models for interval-censored data

DOI10.1016/j.csda.2020.107057OpenAlexW3051799705MaRDI QIDQ830571

Giampiero Marra, Ardo van den Hout, Robson J. M. Machado

Publication date: 7 May 2021

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1801.06375

zbMATH Keywords

survival analysispanel dataMarkov modelpenalised splinesautomatic smoothing

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• mgcv
• msm
• gamair
• flexsurv

Cites Work

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• Copula regression spline models for binary outcomes
• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• The Analysis of Panel Data Under a Markov Assumption
• Multistate Models for the Analysis of Life History Data
• A Penalized Likelihood Approach for a Progressive Three‐State Model with Censored and Truncated Data: Application to AIDS
• A penalized likelihood approach for an illness-death model with interval-censored data: application to age-specific incidence of dementia
• Stable and Efficient Multiple Smoothing Parameter Estimation for Generalized Additive Models

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