A latent class linear mixed model for monotonic continuous processes measured with error
STATISTICAL METHODS IN MEDICAL RESEARCH(2024)
摘要
Motivated by measurement errors in radiographic diagnosis of osteoarthritis, we propose a Bayesian approach to identify latent classes in a model with continuous response subject to a monotonic, that is, non-decreasing or non-increasing, process with measurement error. A latent class linear mixed model has been introduced to consider measurement error while the monotonic process is accounted for via truncated normal distributions. The main purpose is to classify the response trajectories through the latent classes to better describe the disease progression within homogeneous subpopulations.
更多查看译文
关键词
Bayesian analysis,disease trajectories,latent class linear mixed models,measurement error,monotonic continuous process
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要