<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</abstract>

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.

Univariate and Multiple Regression Analyses in Medical Research

Department of Biostatistics and Computational Biology

Biometrical Letters

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Univariate and Multiple Regression Analyses in Medical Research"}

Regression analysis methods, such as linear regression for continuous outcomes and logistic regression for binary outcomes, have been widely used in medical...

Univariate and Multiple Regression Analyses in Medical Research

Online veröffentlicht: 28. Juni 2023

Seitenbereich: 65 - 76

DOI: https://doi.org/10.2478/bile-2023-0005

Schlüsselwörter
conditional expectation, linear regression, logistic regression

© 2023 Ethan Poon et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Univariate and Multiple Regression Analyses in Medical Research

Online veröffentlicht: 28. Juni 2023

Seitenbereich: 65 - 76

DOI: https://doi.org/10.2478/bile-2023-0005

Schlüsselwörterconditional expectation, linear regression, logistic regression

© 2023 Ethan Poon et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
conditional expectation, linear regression, logistic regression