Format

Send to

Choose Destination
Psychol Methods. 2016 Jun;21(2):241-60. doi: 10.1037/met0000060. Epub 2015 Dec 14.

Fungible weights in logistic regression.

Author information

1
Korn Ferry.
2
Department of Psychology, University of Minnesota-Twin Cities.

Abstract

In this article we develop methods for assessing parameter sensitivity in logistic regression models. To set the stage for this work, we first review Waller's (2008) equations for computing fungible weights in linear regression. Next, we describe 2 methods for computing fungible weights in logistic regression. To demonstrate the utility of these methods, we compute fungible logistic regression weights using data from the Centers for Disease Control and Prevention's (2010) Youth Risk Behavior Surveillance Survey, and we illustrate how these alternate weights can be used to evaluate parameter sensitivity. To make our work accessible to the research community, we provide R code (R Core Team, 2015) that will generate both kinds of fungible logistic regression weights. (PsycINFO Database Record.

PMID:
26651981
DOI:
10.1037/met0000060
[Indexed for MEDLINE]

Supplemental Content

Full text links

Icon for American Psychological Association
Loading ...
Support Center