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Madadizadeh, Farzan, Bahariniya, Sajjad. (1405). “Multiple” and “Multivariate”: Two Commonly Misused Statistical Terms in Research Methodology. سامانه مدیریت نشریات علمی, (), -. doi: 10.30476/ijms.2025.107689.4221
Farzan Madadizadeh; Sajjad Bahariniya. "“Multiple” and “Multivariate”: Two Commonly Misused Statistical Terms in Research Methodology". سامانه مدیریت نشریات علمی, , , 1405, -. doi: 10.30476/ijms.2025.107689.4221
Madadizadeh, Farzan, Bahariniya, Sajjad. (1405). '“Multiple” and “Multivariate”: Two Commonly Misused Statistical Terms in Research Methodology', سامانه مدیریت نشریات علمی, (), pp. -. doi: 10.30476/ijms.2025.107689.4221
Madadizadeh, Farzan, Bahariniya, Sajjad. “Multiple” and “Multivariate”: Two Commonly Misused Statistical Terms in Research Methodology. سامانه مدیریت نشریات علمی, 1405; (): -. doi: 10.30476/ijms.2025.107689.4221

“Multiple” and “Multivariate”: Two Commonly Misused Statistical Terms in Research Methodology

Iranian Journal of Medical Sciences
مقالات آماده انتشار، اصلاح شده برای چاپ، انتشار آنلاین از تاریخ 11 فروردین 1405    اصل مقاله (176.7 K)
نوع مقاله: Letter(s) to the Editor
شناسه دیجیتال (DOI): 10.30476/ijms.2025.107689.4221
نویسندگان
Farzan Madadizadeh1، 2؛ Sajjad Bahariniya* 3
1Medical Informatics Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran
2Center for Healthcare Data Modeling, Departments of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
3Department of Healthcare Services Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
چکیده
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. 

تازه های تحقیق

Farzan Madadizadeh (Google Scholar)
Sajjad Bahariniya (Google Scholar) 

کلیدواژه‌ها
Multiple regression model؛ Multivariate regression model؛ Univariate regression model؛ Research methodology
مراجع
  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.
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