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A semi-competing risks model for data with interval-censoring and informative observation: an application to the MRC cognitive function and ageing study.
Stat Med 2011; 30(1):1-10SM

Abstract

Semi-competing risks data occur frequently in medical research when interest is in simultaneous modelling of two or more processes, one of which may censor the others. We consider the analysis of semi-competing risks data in the presence of interval-censoring and informative loss-to-followup. The work is motivated by a data set from the MRC UK Cognitive Function and Ageing Study, which we use to model two processes, cognitive impairment and death. Analysis is carried out using a multi-state model, which is an extension of that used by Siannis et al. (Statist. Med. 2007; 26:426–442) to model semi-competing risks data with exact transition times, to data which is interval-censored. Model parameters are estimated using maximum likelihood. The role of a sensitivity parameter k, which influences the nature of informative censoring, is explored.

Authors+Show Affiliations

MRC Biostatistics Unit, Institute of Public Health, University Forvie Site, Cambridge, UK. Jessica.Barrett@mrc-bsu.cam.ac.ukNo affiliation info availableNo affiliation info available

Pub Type(s)

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

Language

eng

PubMed ID

21204119

Citation

Barrett, Jessica K., et al. "A Semi-competing Risks Model for Data With Interval-censoring and Informative Observation: an Application to the MRC Cognitive Function and Ageing Study." Statistics in Medicine, vol. 30, no. 1, 2011, pp. 1-10.
Barrett JK, Siannis F, Farewell VT. A semi-competing risks model for data with interval-censoring and informative observation: an application to the MRC cognitive function and ageing study. Stat Med. 2011;30(1):1-10.
Barrett, J. K., Siannis, F., & Farewell, V. T. (2011). A semi-competing risks model for data with interval-censoring and informative observation: an application to the MRC cognitive function and ageing study. Statistics in Medicine, 30(1), pp. 1-10. doi:10.1002/sim.4071.
Barrett JK, Siannis F, Farewell VT. A Semi-competing Risks Model for Data With Interval-censoring and Informative Observation: an Application to the MRC Cognitive Function and Ageing Study. Stat Med. 2011 Jan 15;30(1):1-10. PubMed PMID: 21204119.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - A semi-competing risks model for data with interval-censoring and informative observation: an application to the MRC cognitive function and ageing study. AU - Barrett,Jessica K, AU - Siannis,Fotios, AU - Farewell,Vern T, Y1 - 2010/11/05/ PY - 2010/02/09/received PY - 2010/08/01/accepted PY - 2011/1/5/entrez PY - 2011/1/5/pubmed PY - 2011/4/22/medline SP - 1 EP - 10 JF - Statistics in medicine JO - Stat Med VL - 30 IS - 1 N2 - Semi-competing risks data occur frequently in medical research when interest is in simultaneous modelling of two or more processes, one of which may censor the others. We consider the analysis of semi-competing risks data in the presence of interval-censoring and informative loss-to-followup. The work is motivated by a data set from the MRC UK Cognitive Function and Ageing Study, which we use to model two processes, cognitive impairment and death. Analysis is carried out using a multi-state model, which is an extension of that used by Siannis et al. (Statist. Med. 2007; 26:426–442) to model semi-competing risks data with exact transition times, to data which is interval-censored. Model parameters are estimated using maximum likelihood. The role of a sensitivity parameter k, which influences the nature of informative censoring, is explored. SN - 1097-0258 UR - https://www.unboundmedicine.com/medline/citation/21204119/A_semi_competing_risks_model_for_data_with_interval_censoring_and_informative_observation:_an_application_to_the_MRC_cognitive_function_and_ageing_study_ L2 - https://dx.doi.org/10.1002/sim.4071 DB - PRIME DP - Unbound Medicine ER -