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CPP : Cardiovascular Prevention and Pharmacotherapy

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Special Articles
Methods for Evaluating the Accuracy of Diagnostic Tests
Chi-Yeon Lim
Cardiovasc Prev Pharmacother. 2021;3(1):15-20.   Published online January 31, 2021
DOI: https://doi.org/10.36011/cpp.2021.3.e2
  • 965 View
  • 19 Download
Abstract PDF
The accuracy of a diagnostic test should be evaluated before it is used in clinical situations. The sensitivity, specificity, and the trade-off between the 2 need to be considered. Sensitivity and specificity in diagnostic tests depend on the selection of cut-off values, and appropriate cut-off values can be arrived at by analyzing the receiver operating characteristic curve. In actual clinical setting, it is often difficult to obtain an appropriate gold standard for diagnosis, and in this case, consent is required as well. In this article, we summarize the basic concepts and methods for evaluating the performance of diagnostic tests.
Logistic Regression and Least Absolute Shrinkage and Selection Operator
Hyunyong Lee, Hun-Sung Kim
Cardiovasc Prev Pharmacother. 2020;2(4):142-146.   Published online October 31, 2020
DOI: https://doi.org/10.36011/cpp.2020.2.e15
  • 1,426 View
  • 12 Download
  • 1 Citations
Abstract PDF
Logistic regression, a model that forms a binary dependent variable and one or more independent variable(s), is used especially in epidemiological studies. By understanding the logistic model and its applications, such as odds ratio (OR) and performance efficiency, the concept of logistic regression can be easily grasped. The purpose of this article is to 1) introduce logistic regression, including odds and OR, 2) present predictive efficiency, such as area under the curve, and 3) explain the caution of logistic regression analysis.

Citations

Citations to this article as recorded by  
  • Perceptron: Basic Principles of Deep Neural Networks
    Eung-Hee Kim, Hun-Sung Kim
    Cardiovascular Prevention and Pharmacotherapy.2021; 3(3): 64.     CrossRef

CPP : Cardiovascular Prevention and Pharmacotherapy