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    Statistical errors in articles published in radiology journals
    (Aves, 2019) Karadeniz, Pınar Günel; Uzabacı, Ender; Kuyuk, Sema; Kesin, Fisun Kaşkir; Can, Fatma Ezgi; Seçil, Mustafa; Ercan, İlker
    PURPOSE We aimed to evaluate articles in radiology journals indexed in the Science Citation Index or Science Citation Index Expanded in terms of statistical errors. By this means, we aim to contribute to the production of high quality scientific publications. METHODS In this study, a total of 157 articles published in 2016-2017 in 20 radiology journals were reviewed randomly. Selected articles were evaluated for statistical errors regarding P values and statistical tests, and for errors in terminology and other errors related to interpretation. In addition, in order to examine whether the error rates of the articles published in the radiology journals differed according to the impact factor, the statistical errors were compared according to the impact factors of the journals. RESULTS Of the 157 articles published in radiology journals, 10 had no statistical errors, while 147 had at least one statistical error. The most frequently encountered error was "errors in summarizing data" with a rate of 66%. This was followed by "incorrect representation of P values" with a rate of 42%. The least frequently encountered error was "statistical symbol errors" with a rate of 3%. There was no statistically significant difference according to impact factors. CONCLUSION In conclusion, radiology journals, as do journals in different fields, include articles containing statistical errors. Even when the quality of the journal increases, there is no difference in these statistical error rates. In order to prevent statistical errors in manuscripts, there are responsibilities for both the researchers who conduct scientific studies and the editors who publish these studies in their journals. Researchers should have a basic statistical knowledge, and the editor must submit all manuscripts for a statistical review.
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    Statistical Errors in Medical Residency Theses
    (Bezmialem Vakif Univ, 2022) Tak, Aysegul Yabaci; Can, Fatma Ezgi; Kesin, Fisun Kaskir; Ahmadian, Robab; Ercan, İlker
    Objective: The aim of this study is to evaluate the theses of residency in medicine in terms of statistical errors made and thus to contribute to the production of quality scientific publications by ensuring that scientific publishers in the Add of medicine are sensitive and careful about statistics when doing their work. Methods: In this study, we investigated 321 thesis theses which are defended from 6 different universities arc obtained from the database of the Turkish Higher Education Council. The investigation is was conducted in terms of Errors Related to p-values, Errors Related to Tests, Mathematical Notation Errors, Statistical Symbol Errors, Inappropriate Interpretation, Presentation of The the Statistical Method Analysis and Results in The the Incorrect Section of The the Manuscript, Errors in Summarizing Data,Incomprehensible Statistical Terms and Errors in Statistical Terminology Results: There was at least one statistical error in all 321 medicine residency theses examined. The most common error was errors in summarizing data with a ratio of 70.1% (n=225), while the least common error was incomprehensible statistical expressions with a ratio of 14.3% (n=46). Conclusion: As a result, both researchers and consultants who undertake scientific studies have a responsibility to minimize these errors. To prevent statistical errors, students who are doing residency in medicine arc required to receive the necessary training in statistical literacy, to have basic statistical knowledge, and to receive consultancy from a biostatistics expert for statistical evaluations. Students who residency in medicine in preventing statistical errors are required to receive the necessary training in statistical literacy, to have basic statistical knowledge, and to receive consultancy from a biostatistics expert for statistical evaluations.