Abstract:
The module implements a penalized maximum likelihood estimation method proposed by David Firth (University of Warwick) for reducing bias in generalized linear models. In this module, the method is applied to logistic regression. Others, notably Georg Heinze and his colleagues (Medical University of Vienna), have advocated the method for use under conditions of complete and quasi-complete separation, in which conventional maximum likelihood fails in obtaining finite estimates.
Language: Stata Requires: Stata version 9.2 Keywords:Penalized maximum likelihood; logistic regression; Firth (search for similar items in EconPapers) Date: 2008-07-14 Note: This module may be installed from within Stata by typing "ssc inst firthlogit". Windows users should not attempt to download these files with a web browser.
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 ().
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