ScholarLens Back to search
2011•Journal of Clinical EpidemiologyOpen access

Performance of logistic regression modeling: beyond the number of events per variable, the role of data structure

Delphine S. Courvoisier, Christophe Combescure, Thomas Agoritsas, Angèle Gayet‐Ageron, Thomas Perneger

Open full text 318 citations

Abstract

This record does not include an abstract. Use the full-text link above if available.

About this research paper

What this paper is about

An abstract is not available in the OpenAlex record for this paper.

Why it matters

OpenAlex reports 318 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Key concepts: Logistic regression, Statistics, Estimation, Mathematics, Regression analysis, Sample size determination, Regression, Econometrics

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
Performance of logistic regression modeling: beyond the number of events per variable, the role of data structure — Research Paper | ScholarLens