痴呆的潜过程模型及心理测量学测验
A Latent Process Model for Dementia and Psychometric Tests
摘要：
我们联合模型的心理测试和诊断痴呆症的纵向值。该模型是基于一个连续时间的潜在过程，代表认知能力。潜在过程和观测之间的联系分为两个阶段。中间变量是潜在过程的噪声观测;通过对这些中间变量进行分类，获得心理测量测试和痴呆诊断的分数。我们提出了这个模型的最大似然推断，我们提出了执行这项任务的算法。我们使用PAQUID研究的5年随访数据估计了该模型的参数。特别是，本文的分析得出了一些有趣的结果，即教育水平对潜在认知能力和迷你智力测验考试中的具体表现的影响。通过对PAQUID研究的前五年的信息进行八年随访，预测痴呆的诊断，说明该模型的预测能力。
英文摘要：
We jointly model longitudinal values of a psychometric test and diagnosis of dementia. The model is based on a continuous-time latent process representing cognitive ability. The link between the latent process and the observations is modeled in two phases. Intermediate variables are noisy observations of the latent process; scores of the psychometric test and diagnosis of dementia are obtained by categorizing these intermediate variables. We propose maximum likelihood inference for this model and we propose algorithms for performing this task. We estimated the parameters of such a model using the data of the five-year follow-up of the PAQUID study. In particularThis analysis yielded interesting results about the effect of educational level on both latent cognitive ability and specific performance in the mini mental test examination. The predictive ability of the model is illustrated by predicting diagnosis of dementia at the eight-year follow-up of the PAQUID study bsed on the information of the first five years.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
