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Mixed Effects Models with Censored Data with Application to HIV RNA Levels
Author(s) -
Hughes James P.
Publication year - 1999
Publication title -
biometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.298
H-Index - 130
eISSN - 1541-0420
pISSN - 0006-341X
DOI - 10.1111/j.0006-341x.1999.00625.x
Subject(s) - censoring (clinical trials) , statistics , mixed model , econometrics , human immunodeficiency virus (hiv) , longitudinal data , random effects model , covariate , mathematics , computer science , medicine , data mining , meta analysis , family medicine
Summary. 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.