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Multi-state analysis of cognitive ability data: A piecewise-constant model and a Weibull model.

机译:认知能力数据的多状态分析:分段常数模型和Weibull模型。

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摘要

Longitudinal data can be used to estimate transition intensities between healthy and unhealthy states prior to death. When health is defined with respect to cognitive ability during old age, the trajectory of performance is either static or downward. An illness-death model is presented where the intensity of a transition is allowed to change over time by using a piecewise-constant model or by using a Weibull model. Observed improvement of cognitive ability is modelled as misclassification. The methodology is extended to estimate life expectancy with and without cognitive impairment. The measurement of cognitive ability is important as it is an important predictor of future need for care. The models can help to understand how cognitive decline develops over time and which factors play a role. The methods are illustrated using data from the Medical Research Council Cognitive Function and Ageing Study in the U.K. (1991-2005). Copyright (c) 2008 John Wiley & Sons, Ltd.
机译:纵向数据可用于估计死亡前健康状态与不健康状态之间的转换强度。当就老年人的认知能力定义健康时,绩效的轨迹要么是静态的,要么是向下的。提出了一种疾病死亡模型,其中通过使用分段常数模型或使用Weibull模型,允许过渡的强度随时间变化。观察到的认知能力的提高被建模为错误分类。扩展了该方法以估计有无认知障碍的预期寿命。认知能力的测量很重要,因为它是未来护理需求的重要预测指标。这些模型可以帮助理解认知能力下降如何随时间发展以及哪些因素起作用。使用英国医学研究理事会认知功能和衰老研究(1991-2005)的数据对这些方法进行了说明。版权所有(c)2008 John Wiley&Sons,Ltd.

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