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 may be installed from within Stata by typing "ssc install glst". Windows users should not attempt to download these files with a web browser.

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/g/glst.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/g/glst.hlp help file (text/plain)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: http://EconPapers.repec.org/RePEc:boc:bocode:s452001

Ordering information: This software item can be ordered from
http://repec.org/docs/ssc.php

Access Statistics for this software item

More software in Statistical Software Components from Boston College Department of Economics
Address: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA
Contact information at EDIRC.
Series data maintained by Christopher F Baum ().