title: Mixed effects models with censored data with application to HIV RNA levels.
abstract: Mixed effects models are often used for estimating fixed effects and variance components in longitudinal studies of continuous data. When the outcome being modelled is a laboratory measurement, however, it may be subject to lower and upper detection limits (i.e., censoring). In this paper, the usual EM estimation procedure for mixed effects models is modified to account for left and/or right censoring.
authors.affiliation: Department of Biostatistics, University of Washington, Seattle 98195, USA. hughes@biostat.washington.edu
authors.forename: J P
authors.initials: JP
authors.lastname: Hughes
mesh_terms: D000465:Algorithms; D001699:Biometry; D006678:HIV / Q000302:isolation & purification; D015658:HIV Infections / Q000821:virology*; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D015233:Models, Statistical; D012367:RNA, Viral / Q000032:analysis*
chemical_list: D012367:RNA, Viral