Volume 9, Issue 1 (Jan-Mar 2020)                   JCHR 2020, 9(1): 1-3 | Back to browse issues page


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Taherzadeh Chenani K, Madadizadeh F. Popular Statistical Tests for Investigating the Relationship between Two Variables in Medical Research. JCHR. 2020; 9 (1) :1-3
URL: http://jhr.ssu.ac.ir/article-1-619-en.html
1- Department of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
2- Department of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran , f.madadizadeh@ssu.ac.ir
Abstract:   (1040 Views)

Dear Editor in Chief,

Recently, using statistical tests as useful and ubiquitous tools in medical data analysis is increasing (1). However, some researchers are using statistical methods without sufficient knowledge. The purpose of this letter is to provide applied information on some of the most commonly used statistical tests.

All statistical tests examine a hypothesis. A hypothesis is defined as a claim that its accuracy or inaccuracy is unknown (2). In general, variables are divided into quantitative and qualitative categories (3). Some popular statistical tests that examine the relationship between two or more variables are summarized bellow according to the main purpose of this article.

Full-Text [PDF 523 kb]   (285 Downloads) |   |   Full-Text (HTML)  (107 Views)  
Review: Letter to The Editor | Subject: Epidemiology
Received: 2020/03/16 | Accepted: 2020/04/5 | Published: 2020/03/29

References
1. Madadizadeh F, Asar ME, Hosseini M. Common Statistical Mistakes in Descriptive Statistics Reports of Normal and Non-Normal Variables in Biomedical Sciences Re‌ search. Iranian journal of public health. 2015;44(11):1557-8.
2. Larner A. Diagnostic test accuracy studies in dementia: a pragmatic approach: Springer; 2019. [DOI:10.1007/978-3-030-17562-7]
3. Madadizadeh F, Bahrampour A, Mousavi SM, et al. Using Advanced Statistical Models to Predict the Non-Communica‌ ble Diseases. Iranian journal of public health. 2015;44(12):1714-5.
4. Tronstad C, Pripp AH. Statistical methods for bioimpedance analysis. Journal of Electrical Bioimpedance. 2019;5(1):14-27. [DOI:10.5617/jeb.830]
5. Mishra P, Pandey CM, Singh U, et al. Descriptive statistics and normality tests for statistical data. Annals of cardiac anaesthesia. 2019;22(1):67. [DOI:10.4103/aca.ACA_157_18]
6. Porter AM. Misuse of correlation and regression in three medical journals. Journal of the Royal Society of Medicine. 1999;92(3):123-8. [DOI:10.1177/014107689909200306]
7. Petrie A, Sabin C. Medical statistics at a glance: John Wiley & Sons; 2019.

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


© 2020 All Rights Reserved | Journal of Community Health Research

Designed & Developed by : Yektaweb