Journal article
Performance of logistic regression modeling: beyond the number of events per variable, the role of data structure
Abstract
OBJECTIVE: Logistic regression is commonly used in health research, and it is important to be sure that the parameter estimates can be trusted. A common problem occurs when the outcome has few events; in such a case, parameter estimates may be biased or unreliable. This study examined the relation between correctness of estimation and several data characteristics: number of events per variable (EPV), number of predictors, percentage of …
Authors
Courvoisier DS; Combescure C; Agoritsas T; Gayet-Ageron A; Perneger TV
Journal
Journal of Clinical Epidemiology, Vol. 64, No. 9, pp. 993–1000
Publisher
Elsevier
Publication Date
9 2011
DOI
10.1016/j.jclinepi.2010.11.012
ISSN
0895-4356