Machado, RJM;
Van den Hout, A;
(2018)
Flexible multistate models for interval‐censored data: Specification, estimation, and an application to ageing research.
Statistics in Medicine
, 37
(10)
pp. 1636-1649.
10.1002/sim.7604.
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Abstract
Continuous‐time multistate 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 semiparametric shapes for the hazards. Semiparametric hazards can be fitted using P‐splines and penalised maximum likelihood estimation. This paper presents a method to estimate flexible multistate models that allow for parametric and semiparametric hazard specifications. The estimation is based on a scoring algorithm. The method is illustrated with data from the English Longitudinal Study of Ageing.
| Type: | Article |
|---|---|
| Title: | Flexible multistate models for interval‐censored data: Specification, estimation, and an application to ageing research |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1002/sim.7604 |
| Publisher version: | https://doi.org/10.1002/sim.7604 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | cognitive function, Gompertz distribution, multistate models, P‐splines, scoring, Weilbull distribution |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10040574 |
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