Log-binomial models: exploring failed convergence.

Williamson, Tyler.
Eliasziw, Misha.
Fick, Gordon Hilton.
2013

Background: Relative risk is a summary metric that is commonly used in epidemiological investigations. Increasingly, epidemiologists are using log-binomial models to study the impact of a set of predictor variables on a single binary outcome, as they naturally offer relative risks. However, standard statistical software may report failed ... read more

Permanent URL
http://hdl.handle.net/10427/010116
Original publication
Williamson, Tyler, Misha Eliasziw, and Gordon Hilton Fick. "Log-binomial models: exploring failed convergence." Emerging Themes in Epidemiology 10, no. 1 (12, 2013): 1-10.
ID: tufts:17521
To Cite: DCA Citation Guide
Usage: Detailed Rights