In:
Statistical Methods in Medical Research, SAGE Publications, Vol. 10, No. 2 ( 2001-04), p. 101-116
Abstract:
The analysis of marker data from HIV positive patients has been the motivation for many new developments in applied statistics. As well as reviewing these methods, this paper considers the extent to which programs to implement them are available in current software. Particular areas of development have been the joint modelling of markers and survival outcomes, non-linear random effects models that are of particular relevance for studying the efficacy of treatments and the use of Bayesian computational methods for inference from marker data. The package Win BUGS is recommended as being particularly well suited to the analysis of marker data.
Type of Medium:
Online Resource
ISSN:
0962-2802
,
1477-0334
DOI:
10.1177/096228020101000203
Language:
English
Publisher:
SAGE Publications
Publication Date:
2001
detail.hit.zdb_id:
2001539-2
detail.hit.zdb_id:
1136948-6
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