In:
Statistical Methods in Medical Research, SAGE Publications, Vol. 11, No. 4 ( 2002-08), p. 317-325
Abstract:
Clinical investigators are increasing their use of quantitative determinations of HIV viral load in their study populations. The distributions of these measures may be highly skewed, left-censored, and with an extra spike below the detection limit of the assay. We recommend use of a mixture model in this situation, with two sets of explanatory covariates. We extend this model to incorporate multiple measures across time, and to employ shared parameters as a way of increasing model efficiency and parsimony. Data from a cohort of HIV-infected men are used to illustrate these features, and simulations are performed to assess the utility of shared parameters.
Type of Medium:
Online Resource
ISSN:
0962-2802
,
1477-0334
DOI:
10.1191/0962280202sm292ra
Language:
English
Publisher:
SAGE Publications
Publication Date:
2002
detail.hit.zdb_id:
2001539-2
detail.hit.zdb_id:
1136948-6
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