Random effects models for HIV marker data: practical approaches with currently available software.
Stat Methods Med Res
; 10(2): 101-16, 2001 Apr.
Article
em En
| MEDLINE
| ID: mdl-11338333
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 WinBUGS is recommended as being particularly well suited to the analysis of marker data.
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Coleções:
01-internacional
Contexto em Saúde:
2_ODS3
Base de dados:
MEDLINE
Assunto principal:
Biomarcadores
/
Infecções por HIV
/
Modelos Estatísticos
/
Modelos Biológicos
Tipo de estudo:
Clinical_trials
/
Risk_factors_studies
Limite:
Humans
Idioma:
En
Revista:
Stat Methods Med Res
Ano de publicação:
2001
Tipo de documento:
Article