Comparison of standard and penalized logistic regression in risk model developmentCentral MessagePerspective

Comparison of standard and penalized logistic regression in risk model developmentCentral MessagePerspective

Objective: Regression models are ubiquitous in thoracic surgical research. We aimed to compare the value of standard logistic regression with the more complex but increasingly used penalized regression models using a recently published risk model as an example. Methods: Using a standardized data set...

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Bibliographic Details
Main Authors: Yan Yan, MD, PhD, Zhizhou Yang, BA, Tara R. Semenkovich, MD, MPHS, Benjamin D. Kozower, MD, MPH, Bryan F. Meyers, MD, MPH, Ruben G. Nava, MD, Daniel Kreisel, MD, PhD, Varun Puri, MD, MSCI
Format: Article
Language:English
Published: Elsevier 2022-03-01
Series:JTCVS Open
Subjects:
regression
predictive modeling
esophagectomy
outcome research
Online Access:http://www.sciencedirect.com/science/article/pii/S2666273622000286

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http://www.sciencedirect.com/science/article/pii/S2666273622000286

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