Longitudinal models for AIDS marker data
W. John Boscardin, Jeremy M. G. Taylor, Nancy Wai Ying Law · Statistical Methods in Medical Research · 1998
Over the past decade, researchers have put a great amount of eort into developing suitable models for the analysis of longitudinal CD4 data and other markers of AIDS progression.These models must be general enough to allow for dierent patterns of change in the marker data.In this paper, we review the existing literature including our preferred models which i n v olve mixed eects, stochastic terms and independent measurement error.Adding stochastic terms to standard mixed eects models gives an interpretable and parsimonious method for generalizing the covariance structure of the measurement error and short-term variability.We focus on univariate and bivariate models with Integrated Ornstein-Uhlenbeck (IOU) stochastic terms.