* Bayesian inference for an illness-death model for stroke with cognition as a latent time-dependent risk factor.
- 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).
=>調査する, 研究(する), 探求, 調査, 捜索, 研究する
Overview of noun research
The noun research has 2 senses (first 2 from tagged texts)
1. (46) research -- (systematic investigation to establish facts)
2. (6) inquiry, enquiry, research -- (a search for knowledge; "their pottery deserves more research
than it has received")
Overview of verb research
The verb research has 2 senses (first 1 from tagged texts)
1. (1) research -- (attempt to find out in a systematically and scientific manner; "The student
researched the history of that word")
2. research, search, explore -- (inquire into; "the students had to research the history of the
Second World War for their history project"; "He searched for information on his relatives on the
web"; "Scientists are exploring the nature of consciousness")
--- WordNet end ---