Data/hora: 02/06/2024 08:58:49

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