| Registro completo |
| Provedor de dados: |
AgEcon
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| País: |
United States
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| Título: |
Generalized least squares for trend estimation of summarized dose–response data
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| Autores: |
Orsini, Nicola
Bellocco, Rino
Greenland, Sander
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| Data: |
2011-11-04
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| Ano: |
2006
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| Palavras-chave: |
Glst
Dose–response data
Generalized least squares
Trend
Meta-analysis
Metaregression
Research Methods/ Statistical Methods
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| Resumo: |
This paper presents a command, glst, for trend estimation across different exposure levels for either single or multiple summarized case–control, incidence-rate, and cumulative incidence data. This approach is based on constructing an approximate covariance estimate for the log relative risks and estimating a corrected linear trend using generalized least squares. For trend analysis of multiple studies, glst can estimate fixed- and random-effects metaregression models.
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| Tipo: |
Journal Article
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| Idioma: |
Inglês
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| Identificador: |
st0096
http://purl.umn.edu/117556
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| Relação: |
Stata Journal>Volume 6, Number 1, 1st Quarter 2006
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| Formato: |
18
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