Review Article

Review of the Statistical Methods Used in Original Articles Published in Iranian Journal of Public Health: 2015-2019

Abstract

Background: Nowadays, statistical methods are used frequently in research articles. This review study aimed to determine the statistical methods used in original articles published in Iranian journal of public health (IJPH).

Methods: Original articles in the period 2015 to 2019 from volumes 44 to 48 and numbers 1 to 12 were reviewed by a 3-member committee consisting of a statistician and two health researchers. The statistical methods, sample size, study design and population, type of used software were investigated. Multiple response analysis (MRA), KruskalWallis test and Spearman correlation coefficient were used to data analysis. All analyzes were performed in SPSS21 software. Significant level was set at 0.05.

Results: Statistical population in most of the articles were related to human samples at the field level (36% and 297 articles). 66.6% (549 articles) had the sample size less than 500 cases. Study design in most of them were analytical observational 56.2% (464 cases). Acceptance period was 115.5 ± 52.27 days. All the mentioned variables had no significant relationship with the acceptance period (P>0.05). Both among the total tests and the articles, the highest rate of use of statistical methods was related to descriptive statistical method (34.4%, 75.8% and 532 articles), also, the highest use of tests was related to chi square test  and t-test( (29%(450 articles)).

Conclusion: Study design in most of the articles were analytical, to increase thematic diversity, accepting different articles seems necessary. The statistical tests, which used in most articles, were simple, so accepting articles with advanced statistical methods is recommended.

1. Parsons NR, Price CL, Hiskens R, et al (2012). An evaluation of the quality of statistical design and analysis of pub-lished medical research: results from a systematic survey of general ortho-paedic journals. BMC Med Res Method-ol, 12:60.
2. Aims & scope of Iranian Journal of Pub-lic Health. https://ijph.tums.ac.ir/index.php/ijph/aims
3. Ibrahimi E (2018). Data analysis and documentation of statistics in biomed-ical research papers in Albania. Biosta-tistics Epidemiol Int J, 1(1):18-20.
4. Otwombe KN, Petzold M, Martinson N, Chirwa T (2014). A Review of the Study Designs and Statistical Methods Used in the Determination of Predic-tors of All-Cause Mortality in HIV-Infected Cohorts: 2002–2011. PLoS One, 9(2): e87356.
5. Nieminen P, Virtanen JI, Vähänikkilä H (2017). An instrument to assess the statistical intensity of medical research papers. PLoS One, 12(10): e0186882.
6. Scales CD, Norris RD, Preminger GM, et al (2008). Evaluating the evidence: statistical methods in randomized con-trolled trials in the urological litera-ture. J Urol, 180(4):1463-7.
7. Yim KH, Nahm FS, Han KA, Park SY (2010). Analysis of statistical methods and errors in the articles published in the Korean journal of pain. Korean J Pain, 23(1):35-41.
8. Al-Benna S, Al-Ajam Y, Way B, Stein-straesser L (2010). Descriptive and in-ferential statistical methods used in burns research. Burns, 36(3):343-6.
9. Umesh UN, Tan M, Stem DE (1992). Analysis of multiple response in mar-keting research: Estimating the degree of association. Marketing Letters, 3(2):107-14.
10. Friedman LW (1986). The analysis of multiple response simulation output data: experiments of comparison. Computers & Operations Research, 13(6):647-52.
11. Suresh KP, Chandrashekara S (2012). Sample size estimation and power analysis for clinical research studies. J Hum Reprod Sci, 5(1):7-13.
12. Reed JF, Salen P, Bagher P (2003). Methodological and statistical tech-niques: what do residents really need to know about statistics? J Med Syst, 27(3):233-8.
13. Taback N, Krzyzanowska MK (2008). A survey of abstracts of high-impact clinical journals indicated most statis-tical methods presented are summary statistics. J Clin Epidemiol, 61(3):277-81.
14. Avram MJ, Shanks CA, Dykes MH, et al (1985). Statistical methods in anesthe-sia articles: an evaluation of two American journals during two six-month periods. Anesth Analg, 64(6):607-11.
15. Barbosa FT, Jucá MJ (2009). Assessing the quality of random clinical anesthe-siology trials published on the Brazili-an Journal of Anesthesiology from 2005 to 2008. Rev Bras Anestesiol, 59(2):223-33.
16. Kurichi JE, Sonnad SS (2006). Statistical methods in the surgical literature. J Am Coll Surg, 202(3):476-84.
17. Barbosa FT, Souza DA (2010). Frequen-cy of the Adequate Use of Statistical Tests of Hypothesis in Original Arti-cles Published in the Revista Brasileira de Anestesiologia between January 2008 and December 2009. Rev Bras Anestesiol, 60(5): 528-36.
Files
IssueVol 50 No 8 (2021) QRcode
SectionReview Article(s)
DOI https://doi.org/10.18502/ijph.v50i8.6803
Keywords
Statistical methods Original articles Iranian journal of public health Acceptance period

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
1.
Bahariniya S, Madadizadeh F. Review of the Statistical Methods Used in Original Articles Published in Iranian Journal of Public Health: 2015-2019. Iran J Public Health. 2021;50(8):1577-1585.