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arXiv · 1703.08090

Flexible multi-state models for interval-censored data: specification, estimation, and an application to ageing research

Robson J. M. Machado·Ardo van den Hout
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Abstract

Continuous-time multi-state survival models can be used to describe health-related processes over time. In the presence of interval-censored times for transitions between the living states, the likelihood is constructed using transition probabilities. Models can be specified using parametric or semi-parametric shapes for the hazards. Semi-parametric hazards can be fitted using $P$-splines and penalised maximum likelihood estimation. This paper presents a method to estimate flexible multi-state models which allows for parametric and semi-parametric hazard specifications. The estimation is based on a scoring algorithm. The method is illustrated with data from the English Longitudinal Study of Ageing.

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BibTeXRIS

Robson J. M. Machado, Ardo van den Hout. 2017-03-23. Flexible multi-state models for interval-censored data: specification, estimation, and an application to ageing research. https://arxiv.org/abs/1703.08090

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