GLST: Stata module for trend estimation of summarized dose-response data

Nicola Orsini, Rino Bellocco () and Sander Greenland ()
Additional contact information
Rino Bellocco: Karolinska Institutet
Sander Greenland: UCLA

Statistical Software Components from Boston College Department of Economics

Abstract: glst estimates trend 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 trend using generalized least-squares. For trend analysis of multiple studies (meta-analysis), glst can estimates fixed and random-effects meta-regression models.

Language: Stata
Requires: Stata version 9
Keywords: generalized least squares; trend estimation; dose-response data; meta-analysis (search for similar items in EconPapers)
Date: 2005-06-08, Revised 2009-05-11
Note: This module should be installed from within Stata by typing "ssc install glst". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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