A bivariate autoregressive linear mixed effects model for the analysis of longitudinal data.
作者： Ikuko Funatogawa , Takashi Funatogawa , Yasuo Ohashi
DOI: 10.1002/SIM.3456
关键词:
摘要: In clinical studies, dependent bivariate continuous responses may approach equilibrium over time. We propose an autoregressive linear mixed effects model for longitudinal data in which the current are regressed on previous of both variables, fixed effects, and random effects. The equilibria modeled using This is a extension univariate given by Funatogawa et al. (Statist. Med. 2007; 26:2113-2130). As illustration we analyze parathyroid hormone serum calcium measurements treatment secondary hyperparathyroidism chronic hemodialysis patients.
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