Data/hora: 18/06/2024 00:54:36

Provedor de dados: | 31
País: | United States
Título: | Generalized least squares for trend estimation of summarized dose–response data
Autores: | Orsini,   Nicola; Bellocco,   Rino; Greenland,   Sander.
Data: | 2011-11-04
Ano: | 2006
Palavras-chave: | Glst; Dose–response data; Generalized least squares; Trend; Meta-analysis; Metaregression; Research Methods/ Statistical Methods.
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.
Tipo: | Journal Article
Idioma: | Inglês

Identificador:

st0096

http://purl.umn.edu/117556

Relação: | Stata Journal&gt;Volume 6, Number 1, 1st Quarter 2006
Formato: | 18