Univariate and Multiple Regression Analyses in Medical Research-Reference-Cited by-同舟云学术

Univariate and Multiple Regression Analyses in Medical Research

Published:2023-06-01 Issue:1 Volume:60 Page:65-76
ISSN:2199-577X
Container-title:Biometrical Letters
language:en
Short-container-title:

Author:

Poon Ethan¹,Feng Changyong²³

Affiliation:

1. 1 Cistercian Preparatory School , 3660 Cistercian Road, Irving, TX 75039-4500 , USA

2. 2 Department of Biostatistics and Computational Biology

3. 3 Department of Anesthesiology , University of Rochester Medical Center , Rochester, New York 14642 , USA

Abstract

Summary Regression analysis methods, such as linear regression for continuous outcomes and logistic regression for binary outcomes, have been widely used in medical research data analysis for many years. However, there have been instances of misconceptions and misinterpretations of regression results within the medical community. Univariate and multiple regression analyses are commonly used by medical publications to identify factors that are significantly correlated with the outcome. In this manuscript, we critically evaluate the validity of this approach. Our findings indicate that this method is invalid and should be completely disregarded by medical researchers.

Publisher

Walter de Gruyter GmbH

Link

https://www.sciendo.com/pdf/10.2478/bile-2023-0005

Reference38 articles.

1. Arbel R., Wolff S.Y., Hoshen M., Battat E., Lavie G., Sergienko R., Friger M., Waxman J.G., Dagan N., Balicer R., Ben-Shlomo Y., Peretz A., Yaron S., Serby D., Hammerman A., Netzer D. (2022): Nirmatrelvir Use and Severe Covid-19 Outcomes during the Omicron Surge. New England Journal of Medicine 387(9): 790–798.

2. Agresti A. (2002): Categorical data analysis (2nd ed.). Hoboken, NJ: Wiley.

3. Bardia A., Sood A., Mahmood F., Orhurhu V., Mueller A., Montealegre-Gallegos M., et al. (2016): Combined Epidural-General Anesthesia vs General Anesthesia Alone for Elective Abdominal Aortic Aneurysm Repair. JAMA Surgery 151(12): 1116–1123.

4. Barlesi F., Mazieres J., Merlio J.P., Debieuvre D., Mosser J., Lena H., et al. (2016): Routine molecular profiling of patients with advanced non-small-cell lung cancer: results of a 1-year nationwide programme of the French Cooperative Thoracic Intergroup (IFCT). Lancet 387: 1415–1426.

5. Brooks G.A., Kansagra A.J., Rao S.R., Weitzman J.I., Linden E.A., Jacobson J.O. (2015): A Clinical Prediction Model to Assess Risk for Chemotherapy-Related Hospitalization in Patients Initiating Palliative Chemotherapy. JAMA Oncology 1(4): 441–447