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CPP : Cardiovascular Prevention and Pharmacotherapy

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Hyunyong Lee 1 Article
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
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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