Multicollinearity in Logistic Regression Models

Affiliations

¹ From the Departments of Biostatistics and Anesthesia, Clinical Trials Statistical and Data Management Center and.
² Division of Management Consulting, Department of Anesthesia, University of Iowa, Iowa City, IA.

Editorial

Emine Ozgur Bayman et al. Anesth Analg. 2021.

. 2021 Aug 1;133(2):362-365.

doi: 10.1213/ANE.0000000000005593.

¹ From the Departments of Biostatistics and Anesthesia, Clinical Trials Statistical and Data Management Center and.
² Division of Management Consulting, Department of Anesthesia, University of Iowa, Iowa City, IA.

No abstract available

Conflict of interest statement

The authors declare no conflicts of interest.

A Bayesian Comparison of Frailty Instruments in Noncardiac Surgery: A Cohort Study.
McIsaac DI, Aucoin SD, van Walraven C. McIsaac DI, et al. Anesth Analg. 2021 Aug 1;133(2):366-373. doi: 10.1213/ANE.0000000000005290. Anesth Analg. 2021. PMID: 33264118

1. McIsaac D, Aucoin S, Walraven C. A Bayesian comparison of frailty instruments in noncardiac surgery: a cohort study. Anesth Analg. 2021;133:366–373.
1. Taboga M. Multicollinearity. Lectures on Probability Theory and Mathematical Statistics. 2017.3rd ed. Kindle Direct Publishing;
1. Spiegelhalter DJ, Abrams KR, Myles JP. Bayesian Approaches to Clinical Trials and Health-Care Evaluation. 2004.John Wiley & Sons;
1. Midi H, Sarkar SK, Rana S. Collinearity diagnostics of binary logistic regression model. J Interdiscip Math. 2010;13:253–267.
1. American College of Surgeons User Guide for the 2014 ACS NSQIP Participant Use Data File. 2015. Accessed April 5, 2021. https://www.facs.org/-/media/files/quality-programs/nsqip/nsqip_puf_user... .