Iranian Journal of Medical Sciences

Document Type : Letter(s) to the Editor

Authors

1 Medical Informatics Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran

2 Center for Healthcare Data Modeling, Departments of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

3 Department of Healthcare Services Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran

10.30476/ijms.2025.107689.4221

Abstract

Regression modeling is a powerful tool for examining associations between dependent and independent variables. Two frequently misunderstood terms in this context are “multiple” and “multivariate” regression. 

Highlights

Farzan Madadizadeh (Google Scholar)
Sajjad Bahariniya (Google Scholar

Keywords

  1. Sun Y, Wang X, Zhang C, Zuo M. Multiple regression: Methodology and applications. Highlights in Science, Engineering and Technology. 2023;49:542-8. doi: 10.54097/hset.v49i.8611.
  2. Westad F, Marini F. Variable selection and redundancy in multivariate regression models. Frontiers in Analytical Science. 2022;2:897605. doi: 10.3389/frans.2022.897605.
  3. Hongyue W, Jing P, Bokai W, Xiang L, Julia ZZ, Kejia W, et al. Inconsistency between univariate and multiple logistic regressions. Shanghai archives of psychiatry. 2017;29:124.
  4. Schober P, Vetter TR. Logistic Regression in Medical Research. Anesth Analg. 2021;132:365-6. doi: 10.1213/ANE.0000000000005247. PubMed PMID: 33449558; PubMed Central PMCID: PMC7785709.