Mp. Lavalley et V. Degruttola, MODELS FOR EMPIRICAL BAYES ESTIMATORS OF LONGITUDINAL CD4 COUNTS, Statistics in medicine, 15(21-22), 1996, pp. 2289-2305
In this paper we consider the choice of model used in estimation of tr
ajectories of CD4 T-cell counts by empirical Bayes estimators. Tsiatis
et al. have demonstrated that empirical Bayes estimates of CD4 values
correct for the bias resulting from measurement error when using CD4
as a covariate in a Cox model to predict clinical events, Here, empiri
cal Bayes estimates from a random effects model are compared to estima
tes from the more general stochastic regression model presented in Tay
lor et al. Empirical Bayes estimators based on the two models are judg
ed according to their ability to provide parameter estimates in a Cox
model predicting clinical outcomes. Data from ACTG 118 are used as an
illustration.