- Logistic Regression and Least Absolute Shrinkage and Selection Operator
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Hyunyong Lee, Hun-Sung Kim
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Cardiovasc Prev Pharmacother. 2020;2(4):142-146. Published online October 31, 2020
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DOI: https://doi.org/10.36011/cpp.2020.2.e15
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 Abstract
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- 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.
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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
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