Comparison of Semiparametric, Parametric, and Nonparametric ROC Analysis for Continuous Diagnostic Tests Using a Simulation Study and Acute Coronary Syndrome Data
المؤلفون المشاركون
Colak, Ertugrul
Oner, Setenay
Bal, Cengiz
Mutlu, Fezan
Ozdamar, Kazim
Cavusoglu, Yuksel
Gok, Bulent
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2012، العدد 2012 (31 ديسمبر/كانون الأول 2012)، ص ص. 1-7، 7ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2012-06-28
دولة النشر
مصر
عدد الصفحات
7
التخصصات الرئيسية
الملخص EN
We aimed to compare the performance of three different individual ROC methods (one from each of the broad categories of parametric, nonparametric and semiparametric analysis) for assessing continuous diagnostic tests: the binormal method as a parametric method, an empirical approach as a nonparametric method, and a semiparametric method using generalized linear models (GLM).
We performed a simulation study with various sample sizes under normal, skewed, and monotone distributions.
In the simulations, we used estimates of the ROC curve parameters a and b, estimates of the area under the curve (AUC), the standard errors and root mean square errors (RMSEs) of these estimates, and the 95% AUC confidence intervals for comparison.
The three methodologies were also applied to an acute coronary syndrome dataset in which serum myoglobin levels were used as a biomarker for detecting acute coronary syndrome.
The simulation and application studies suggest that the semiparametric ROC analysis using GLM is a reliable method when the distributions of the diagnostic test results are skewed and that it provides a smooth ROC curve for obtaining a unique cutoff value.
A sample size of 50 is sufficient for applying the semiparametric ROC method.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Colak, Ertugrul& Mutlu, Fezan& Bal, Cengiz& Oner, Setenay& Ozdamar, Kazim& Gok, Bulent…[et al.]. 2012. Comparison of Semiparametric, Parametric, and Nonparametric ROC Analysis for Continuous Diagnostic Tests Using a Simulation Study and Acute Coronary Syndrome Data. Computational and Mathematical Methods in Medicine،Vol. 2012, no. 2012, pp.1-7.
https://search.emarefa.net/detail/BIM-491524
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Colak, Ertugrul…[et al.]. Comparison of Semiparametric, Parametric, and Nonparametric ROC Analysis for Continuous Diagnostic Tests Using a Simulation Study and Acute Coronary Syndrome Data. Computational and Mathematical Methods in Medicine No. 2012 (2012), pp.1-7.
https://search.emarefa.net/detail/BIM-491524
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Colak, Ertugrul& Mutlu, Fezan& Bal, Cengiz& Oner, Setenay& Ozdamar, Kazim& Gok, Bulent…[et al.]. Comparison of Semiparametric, Parametric, and Nonparametric ROC Analysis for Continuous Diagnostic Tests Using a Simulation Study and Acute Coronary Syndrome Data. Computational and Mathematical Methods in Medicine. 2012. Vol. 2012, no. 2012, pp.1-7.
https://search.emarefa.net/detail/BIM-491524
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-491524
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر