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Journals / Gazi University Journal of Science / 2019 / Cilt: 32 - Sayı: 1

Comparison of Binary Logistic Regression Models Based on Bootstrap Method: An Application on Coronary Artery Disease Data

Hayriye Esra AKYUZ
Hamza GAMGAM
Pages
318–331
Publication Date
2019-03-01
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

It can be said that the bootstrap I model based on resampling of errors term is the best in estimating coronary artery disease.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study is aimed to obtain an appropriate logistic regression model based on the bootstrap methods.
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Key Findings & Data:For this purpose, two bootstrap methods called bootstrap I and bootstrap II are given to obtain the estimations of parameters and standard errors.
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Conclusion & Impact:It can be said that the bootstrap I model based on resampling of errors term is the best in estimating coronary artery disease.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Bootstrap · Backward Elimination · Coronary Artery Disease

Abstract

This study is aimed to obtain an appropriate logistic regression model based on the bootstrap methods. For this purpose, two bootstrap methods called bootstrap I and bootstrap II are given to obtain the estimations of parameters and standard errors. Traditional logistic regression is compared with the bootstrap I and bootstrap II methods in terms of the parameter estimations and standard errors. It has been found that the standard errors of the parameter estimations for the bootstrap I model are smaller than others. Also, the average widths of confidence interval based on bootstrap I model are narrower than the logistic regression and bootstrap II. It is seen that, the simulation study based on different sample sizes supports these results. It can be said that the bootstrap I model based on resampling of errors term is the best in estimating coronary artery disease.

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Cite This Article

AKYUZ, H. E., GAMGAM, H. (2019). Comparison of Binary Logistic Regression Models Based on Bootstrap Method: An Application on Coronary Artery Disease Data. Gazi University Journal of Science, Cilt: 32 - Sayı: 1, 318–331. https://ajindex.com/articles/254499

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