Statistical methods used in articles published by the <i>Journal of Periodontal and Implant Science</i>

Choi, E‐Joon; Lyu, Jiyoung; Park, Jin-Young; Kim, Hae-Young

doi:10.5051/jpis.2014.44.6.288

Cited by 6 publications

(6 citation statements)

References 15 publications

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“…Before entering the preprocessing stage, the data obtained using the scraping method will be analyzed in advance about the number of reviews and ratings available on e-commerce 1, e-commerce 2, and e-commerce 3 e-commerce [21]. Descriptive analysis results will be visualized to know three e-commerce sites [22], [23].…”

Section: Descriptive Analysismentioning

confidence: 99%

E-commerce online review for detecting influencing factors users perception

2021

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To date, online shopping using e-commerce services becomes a trend. The emergence of e-commerce truly helps people to shop more effectively and efficiently. However, there are still some problems encountered in e-commerce, especially from the user perspective. This research aims to explore user review data, particularly on factors that influence user perception of e-commerce applications, classify, and identify potential solutions to finding problems in e-commerce applications. Data is grabbed using web scraping techniques and classified using proper machine learning, i.e., support vector machine (SVM). Text associations and fishbone analysis are performed based on the classified user review data. The results of this study show that the user satisfaction problem can be captured. Furthermore, various services that should be provided as a potential solution to experienced customers' problems or application users' perception problems can be generated. A detailed discussion of these findings is available in this article.

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Section: Descriptive Analysismentioning

confidence: 99%

E-commerce online review for detecting influencing factors users perception

2021

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“…On the other hand, the use of complex and inefficient statistical methods solely for the purpose of superficial improvement of the study can be considered as an immoral approach. [1][2][3][4][5] Medical journals with a wide coverage of various topics in the field of medicine and public health have many enthusiasts around the world. In Iran, the Archives of Iranian Medicine (AIM) is a valuable journal and a reputable clinical resource that has been working since 1998 and has been publishing articles monthly since 2012.…”

Section: Introductionmentioning

confidence: 99%

“…Statistical review of journal articles is usually done over a period of 5 or 10 years. 3,4 At the time of conducting this study (June 2020), AIM's 2020 issues were not yet complete, so this year was not included in our study. Therefore, the period from 2015 to 2019 was selected as our study period.…”

Section: Introductionmentioning

confidence: 99%

Frequency of the Statistical Methods and Relation with Acceptance Period in Archives of Iranian Medicine Articles: A Review from 2015–2019

Madadizadeh

Bahariniya

2022

Arch Iran Med

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Background: Statistical methods (SM) are a ubiquitous tool in research. This study aimed to review SM used in original article published in the Archives of Iranian Medicine (AIM) and assess their effect on article acceptance period. Methods: The original articles published in the period 2015–2019 from volumes 18 to 22 and issues 1 to 12 of the AIM were reviewed and six items such as SM, study design, statistical population, sample size, software and acceptance period were extracted. Mean (SD), frequency (percentage) and multiple response analysis (MRA) were used for description. The Kruskal-Wallis test and Spearman correlation coefficient were used for data analysis in SPSS 26 with significance level at 5%. Results: During the study period, 423 original articles were reviewed. The statistical population in most of them was patients (38.8% and 164 articles), and most studies (51.5% and 218 articles) had a sample size of less than 500 people. The study design in most of the articles was analytical-observational (55.1% and 233 articles), and 79.7% (337 articles) used SPSS for data analysis. The median (IQR) acceptance period was 194 (134.25). MRA results showed that the highest rate of use of SM was related to descriptive statistics (277 articles, 30.3%) and Chi square test (130 articles, 14.2%). In the last two years, the acceptance period had a declining trend. There was no significant relation between mentioned variables and acceptance period (P>0.05). Conclusion: Contrary to the researchers’ misconceptions, the acceptance period was not affected by SM, study design, statistical population, sample size, or type of software.

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“…In addition, they showed how articles that are published in certain dental journals applied and reported statistical methods differently from articles in visible medical journals (New England Journal of Medicine and Lancet) [11]. However, Choi et al [12] have identified a recent, but growing, trend towards the application of statistical, especially non-parametric, methods in periodontal research. There have also been also reviews of dental literature that have estimated the prevalence of misused statistics or statistical errors [13] or evaluated the quality of statistical reporting [10,14].…”

Section: Introductionmentioning

confidence: 99%

Use of Data Analysis Methods in Dental Publications: Is There Evidence of a Methodological Change?

Nieminen

Vähänikkilä

2020

Publications

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Objectives: To evaluate how data analysis methods in dental studies have changed in recent years. Methods: A total of 400 articles published in 2010 and 2017 in five dental journals, Journal of Dental Research, Caries Research, Community Dentistry and Oral Epidemiology, Journal of Dentistry, and Acta Odontologica Scandinavica, were analyzed. The study characteristics and the reporting of data analysis techniques were systematically identified. Results: The statistical intensity of the dental journals did not change from 2010 to 2017. Dental researchers did not adopt the data mining, machine learning, or Bayesian approaches advocated in the computer-oriented methodological literature. The determination of statistical significance was the most generally used method for conducting research in both 2010 and 2017. Observational study designs were more common in 2017. Insufficient and incomplete descriptions of statistical methods were still a serious problem. Conclusion: The stabilization of statistical intensity in the literature suggests that papers applying highly computationally complex data analysis methods have not meaningfully contributed to dental research or clinical care. Greater rigor is required in reporting the methods in dental research articles, given the current pervasiveness of failure to describe the basic techniques used.

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Statistical methods used in articles published by the Journal of Periodontal and Implant Science

Cited by 6 publications

References 15 publications

E-commerce online review for detecting influencing factors users perception

E-commerce online review for detecting influencing factors users perception

Frequency of the Statistical Methods and Relation with Acceptance Period in Archives of Iranian Medicine Articles: A Review from 2015–2019

Use of Data Analysis Methods in Dental Publications: Is There Evidence of a Methodological Change?

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