A semi-parametric regression analysis of CD4 cell counts.

Abstract:

:This paper considers the regression analysis of CD4 cell counts, a commonly used indicator and prognostic factor of AIDS progression. For this purpose, a number of methods have been proposed and most of them are based on random effects models. We present an alternative that is based on a mean function regression model. The new method is more natural and particularly appropriate if population parameters such as treatment comparison are mainly of interest. To estimate regression parameters, we present an estimating equation-based approach, which does not require estimation of the baseline mean function. This makes the implementation of the approach and the study of the properties of the estimated regression parameters much easier than those based on random effects models. The method is illustrated with a set of CD4 cell count data arising from an AIDS clinical trial and simulated data.

journal_name

Stat Med

journal_title

Statistics in medicine

authors

Sun J

doi

10.1002/sim.945

subject

Has Abstract

pub_date

2001-11-15 00:00:00

pages

3313-22

issue

21

eissn

0277-6715

issn

1097-0258

pii

10.1002/sim.945

journal_volume

20

pub_type

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