Journal
STATISTICS IN MEDICINE
Volume 27, Issue 30, Pages 6367-6378Publisher
JOHN WILEY & SONS LTD
DOI: 10.1002/sim.3456
Keywords
autoregressive model; dose modification; equilibrium; linear mixed effects model; multivariate longitudinal data
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In clinical studies, dependent bivariate continuous responses may approach equilibrium over time. We propose an autoregressive linear mixed effects model for bivariate longitudinal data in which the current responses are regressed on the previous responses of both variables, fixed effects, and random effects. The equilibria are modeled using fixed and random effects. This model is a bivariate extension of the model for univariate longitudinal data given by Funatogawa et al. (Statist. Med. 2007; 26:2113-2130). As an illustration of the approach we analyze parathyroid hormone and serum calcium measurements in the treatment of secondary hyperparathyroidism in chronic hemodialysis patients. Copyright (C) 2008 John Wiley & Sons, Ltd.
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