swMATH ID: 37510
Software Authors: Orsini, N.; Bellocco, R.; Greenland, S.
Description: Generalized least squares for trend estimation of summarized dose–response data. 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.
Homepage: https://journals.sagepub.com/doi/pdf/10.1177/1536867X0600600103
Dependencies: Stata
Related Software: tcs; Stata
Cited in: 1 Document

Cited in 1 Field

1 Statistics (62-XX)

Citations by Year