title: Bayesian inference for an illness-death model for stroke with cognition as a latent time-dependent risk factor.
abstract: Longitudinal data can be used to estimate the transition intensities between healthy and unhealthy states prior to death. An illness-death model for history of stroke is presented, where time-dependent transition intensities are regressed on a latent variable representing cognitive function. The change of this function over time is described by a linear growth model with random effects. Occasion-specific cognitive function is measured by an item response model for longitudinal scores on the Mini-Mental State Examination, a questionnaire used to screen for cognitive impairment. The illness-death model will be used to identify and to explore the relationship between occasion-specific cognitive function and stroke. Combining a multi-state model with the latent growth model defines a joint model which extends current statistical inference regarding disease progression and cognitive function. Markov chain Monte Carlo methods are used for Bayesian inference. Data stem from the Medical Research Council Cognitive Function and Ageing Study in the UK (1991-2005).
authors.affiliation: MRC Biostatistics Unit, Institute of Public Health, Robinson Way, Cambridge CB2 0SR, UK. ardo.vandenhout@mrc-bsu.cam.ac.uk.
authors.forename: Ardo
authors.initials: A
authors.lastname: van den Hout
authors.affiliation: Department of Research Methodology, Measurement, and Data Analysis Faculty of Behavioral Sciences, Twente University, The Netherlands.
authors.forename: Jean-Paul
authors.initials: JP
authors.lastname: Fox
authors.affiliation: TNO Quality and Safety, Zeist, The Netherlands.
authors.forename: Rinke H
authors.initials: RH
authors.lastname: Klein Entink
mesh_terms: D000368:Aged; D001499:Bayes Theorem; D003072:Cognition Disorders / Q000209:etiology* / Q000401:mortality; D006801:Humans; D008390:Markov Chains; D015233:Models, Statistical; D009010:Monte Carlo Method; D012307:Risk Factors; D020521:Stroke / Q000150:complications / Q000401:mortality*; D013997:Time Factors
references.citation: J Psychiatr Res. 1975 Nov;12(3):189-98
references.pmid: 1202204
references.citation: Stat Methods Med Res. 2009 Apr;18(2):145-62
references.pmid: 18445698
references.citation: Med Decis Making. 2005 Nov-Dec;25(6):633-45
references.pmid: 16282214
references.citation: Lifetime Data Anal. 1999 Dec;5(4):315-27
references.pmid: 10650740
references.citation: IEEE Trans Pattern Anal Mach Intell. 1984 Jun;6(6):721-41
references.pmid: 22499653
references.citation: Stat Med. 2007 Dec 20;26(29):5335-53
references.pmid: 17676712
references.citation: Stat Med. 1999 Nov 15;18(21):2917-31
references.pmid: 10523750
references.citation: Biostatistics. 2009 Oct;10(4):729-43
references.pmid: 19648228
references.citation: Int J Epidemiol. 2006 Oct;35(5):1140-5
references.pmid: 16980700
references.citation: Stat Med. 1993 Jun 30;12(12):1155-69
references.pmid: 8210819