Mixed models for longitudinal left-censored repeated measures
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Mixed models for longitudinal left-censored repeated measures
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| Id. |
25657191 |
| Titulo |
Mixed models for longitudinal left-censored repeated measures |
| Autor(es) |
Thiébaut, Rodolphe
Jacqmin-Gadda, Hélène
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| Localización |
http://arxiv.org/abs/0705.0569
Comput Methods Programs Biomed 74, 3 (06/2004) 255-60
doi:10.1016/j.cmpb.2003.08.004
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| Versión |
1.0 |
| Estado |
Final
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| Descripción |
Longitudinal studies could be complicated by left-censored repeated measures.
For example, in Human Immunodeficiency Virus infection, there is a detection
limit of the assay used to quantify the plasma viral load. Simple imputation of
the limit of the detection or of half of this limit for left-censored measures
biases estimations and their standard errors. In this paper, we review two
likelihood-based methods proposed to handle left-censoring of the outcome in
linear mixed model. We show how to fit these models using SAS Proc NLMIXED and
we compare this tool with other programs. Indications and limitations of the
programs are discussed and an example in the field of HIV infection is shown.
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| Palabras clave |
Statistics - Applications
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| Tipo de recurso |
Texto Narrativo
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| Tipo de Interactividad |
Expositivo
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| Nivel de Interactividad |
muy bajo
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| Audiencia |
Estudiante
Profesor
Autor
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| Estructura |
Atomic |
| Coste |
no
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| Copyright |
sí
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| Requerimientos técnicos |
Browser: Any
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| Fecha de contribución |
26-jun-2007 |
| Contacto |
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