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Flexible multistate models for interval-censored data: Specification, estimation, and an application to ageing research.
Stat Med 2018; 37(10):1636-1649SM

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.

Authors+Show Affiliations

Department of Statistical Science, University College, Gower Street, London WC1E 6BT, UK.Department of Statistical Science, University College, Gower Street, London WC1E 6BT, UK.

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

29383740

Citation

Machado, Robson J M., and Ardo van den Hout. "Flexible Multistate Models for Interval-censored Data: Specification, Estimation, and an Application to Ageing Research." Statistics in Medicine, vol. 37, no. 10, 2018, pp. 1636-1649.
Machado RJM, van den Hout A. Flexible multistate models for interval-censored data: Specification, estimation, and an application to ageing research. Stat Med. 2018;37(10):1636-1649.
Machado, R. J. M., & 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. doi:10.1002/sim.7604.
Machado RJM, van den Hout A. Flexible Multistate Models for Interval-censored Data: Specification, Estimation, and an Application to Ageing Research. Stat Med. 2018 05 10;37(10):1636-1649. PubMed PMID: 29383740.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Flexible multistate models for interval-censored data: Specification, estimation, and an application to ageing research. AU - Machado,Robson J M, AU - van den Hout,Ardo, Y1 - 2018/01/31/ PY - 2017/03/02/received PY - 2017/12/14/revised PY - 2017/12/15/accepted PY - 2018/2/1/pubmed PY - 2019/11/19/medline PY - 2018/2/1/entrez KW - Gompertz distribution KW - P-splines KW - Weilbull distribution KW - cognitive function KW - multistate models KW - scoring SP - 1636 EP - 1649 JF - Statistics in medicine JO - Stat Med VL - 37 IS - 10 N2 - 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. SN - 1097-0258 UR - https://www.unboundmedicine.com/medline/citation/29383740/Flexible_multistate_models_for_interval_censored_data:_Specification_estimation_and_an_application_to_ageing_research_ DB - PRIME DP - Unbound Medicine ER -