Ortopedi Alanında Kullanılan İstatistiksel Yöntemler
Özet
Uzman doktorlar tarafından temel istatistiksel terimlerin kavranması ve kendi uzmanlık alanlarında sıklıkla kullanılan istatistiksel yöntemlerin neler olduğuna ilişkin bilgi sahibi olunması, bir araştırma makalesini anlamada, bulguları doğru yorumlamada büyük önem taşımaktadır. Literatürde Student’s t testi, Ki-Kare Testi, Mann-Whitney U Testi, ANOVA ve Fisher’s Exact Testi, Lojistik Regresyon Yöntemi, Korelasyon Katsayısı, Cox Regresyon, Kruskal-Wallis Testi ve Kolmogorov-Smirnov Test, ortopedide sıklıkla uygulanan istatistiksel yöntemler olarak sıralanmıştır. Bu çalışmanın amacı, istatistik bilimindeki temel kavramları kısaca açıklamak ve ortopedide sıklıkla kullanılan istatistiksel yöntemleri örneklerle birlikte okuyucuya kavratmaktır.
It is of great importance for specialist doctors to understand basic statistical terms and to have knowledge of the statistical methods that are more frequently used in their field of expertise in understanding a research article and correctly interpreting the findings. Student's t test, Chi-Square Test, Mann-Whitney U Test, ANOVA and Fisher's Exact Test, Logistic Regression Method, Correlation Coefficient, Cox Regression, Kruskal-Wallis Test and Kolmogorov-Smirnov Test are listed as the most frequently applied statistical methods in the field of orthopedics. The aim of this study is to briefly explain the basic concepts in statistics and to clarify the statistical methods commonly employed in orthopedics via relevant examples.
Referanslar
Alexander BK, Paul KD, Solar S, Chen K, Mallenahalli S, McGwin G, et al. How Has Statistical Testing in Orthopedics Changed Over Time? An Assessment of High Impact Journals Over 25 Years. Journal of surgical education. 2023 Jul 1;80(7):1046–52.2.
Ranganathan P. An introduction to statistics: Choosing the correct statistical test. Indian Journal of Critical Care Medicine [Internet]. 2021;25(S2):184–6.
Evelyn Malone H, Coyne I. Decision-tables for choosing commonly applied inferential statistical tests in comparative and correlation studies. Nurse Researcher. 2019 Dec 16;27(4):29–35.
Suner A, Karakülah G, Koşaner Ö, Dicle O. StatXFinder: a web-based self-directed tool that provides appropriate statistical test selection for biomedical researchers in their scientific studies. SpringerPlus. 2015 Oct 22;4(1).
Sungur MA, Ankaralı H, Cangür Ş. A Web-Based Guide in Choosing the Appropriate Test Statistics for Univariate Models. Anatolian Clin. 2016;22(1):24-9.
Alpar R. Spor, Sağlık ve Eğitim Bilimlerinden Örneklerle Uygulamalı İstatistik ve Geçerlik-Güvenirlik. Ankara: Detay Yayıncılık; 2016.
Alpar R. Uygulamalı Çok Değişkenli İstatistiksel Yöntemler. Ankara: Detay Yayıncılık; 2017.
KHAN KS, CHIEN PFW, DWARAKANATH LS. Logistic Regression Models in Obstetrics and Gynecology Literature. Obstetrics & Gynecology. 1999 Jun;93(6):1014–20.
Kim Y, Kwon S, Heun Song S. Multiclass sparse logistic regression for classification of multiple cancer types using gene expression data. Computational Statistics & Data Analysis. 2006 Dec;51(3):1643–55.
Song LX, Qin Y, Yang L, Xing DB, Li Y, Lei FQ, Wang LH. Establishment and validation of the prediction model for postoperative delirium risk factors in older patients after total knee arthroplasty: A retrospective study. Medicine (Baltimore). 2024 Jun 28;103(26):e38745.
Duan Y, Zhang R. Risk factors and prediction model of delirium in elderly patients after hip arthroplasty. Pak J Med Sci. 2024 Jul;40(6):1077-1082.
Koritz K, Canizares MF, Cook D, Shore BJ. Incidence of Skin Sensitivity Following Dermabond Application in Pediatric Orthopedic Surgery. J Pediatr Orthop. 2024 Feb 1;44(2):e203-e208.
Referanslar
Alexander BK, Paul KD, Solar S, Chen K, Mallenahalli S, McGwin G, et al. How Has Statistical Testing in Orthopedics Changed Over Time? An Assessment of High Impact Journals Over 25 Years. Journal of surgical education. 2023 Jul 1;80(7):1046–52.2.
Ranganathan P. An introduction to statistics: Choosing the correct statistical test. Indian Journal of Critical Care Medicine [Internet]. 2021;25(S2):184–6.
Evelyn Malone H, Coyne I. Decision-tables for choosing commonly applied inferential statistical tests in comparative and correlation studies. Nurse Researcher. 2019 Dec 16;27(4):29–35.
Suner A, Karakülah G, Koşaner Ö, Dicle O. StatXFinder: a web-based self-directed tool that provides appropriate statistical test selection for biomedical researchers in their scientific studies. SpringerPlus. 2015 Oct 22;4(1).
Sungur MA, Ankaralı H, Cangür Ş. A Web-Based Guide in Choosing the Appropriate Test Statistics for Univariate Models. Anatolian Clin. 2016;22(1):24-9.
Alpar R. Spor, Sağlık ve Eğitim Bilimlerinden Örneklerle Uygulamalı İstatistik ve Geçerlik-Güvenirlik. Ankara: Detay Yayıncılık; 2016.
Alpar R. Uygulamalı Çok Değişkenli İstatistiksel Yöntemler. Ankara: Detay Yayıncılık; 2017.
KHAN KS, CHIEN PFW, DWARAKANATH LS. Logistic Regression Models in Obstetrics and Gynecology Literature. Obstetrics & Gynecology. 1999 Jun;93(6):1014–20.
Kim Y, Kwon S, Heun Song S. Multiclass sparse logistic regression for classification of multiple cancer types using gene expression data. Computational Statistics & Data Analysis. 2006 Dec;51(3):1643–55.
Song LX, Qin Y, Yang L, Xing DB, Li Y, Lei FQ, Wang LH. Establishment and validation of the prediction model for postoperative delirium risk factors in older patients after total knee arthroplasty: A retrospective study. Medicine (Baltimore). 2024 Jun 28;103(26):e38745.
Duan Y, Zhang R. Risk factors and prediction model of delirium in elderly patients after hip arthroplasty. Pak J Med Sci. 2024 Jul;40(6):1077-1082.
Koritz K, Canizares MF, Cook D, Shore BJ. Incidence of Skin Sensitivity Following Dermabond Application in Pediatric Orthopedic Surgery. J Pediatr Orthop. 2024 Feb 1;44(2):e203-e208.
