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Validation and performance analysis of binary logistic regression model

Application of logistic regression modeling techniques without subsequent performance analysis regarding predictive ability of the fitted model can result in poorly fitting results that inaccurately predict outcomes on new subjects. Model validation is possibly the most important step in the model b...

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Main Authors: Rana, Md. Sohel, Midi, Habshah, Sarkar, Saroje Kumar
Format: Conference or Workshop Item
Language:English
Published: WSEAS Press 2010
Online Access:http://psasir.upm.edu.my/id/eprint/64985/1/EH-09.pdf
http://psasir.upm.edu.my/id/eprint/64985/
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spelling my.upm.eprints.649852018-09-03T04:21:03Z http://psasir.upm.edu.my/id/eprint/64985/ Validation and performance analysis of binary logistic regression model Rana, Md. Sohel Midi, Habshah Sarkar, Saroje Kumar Application of logistic regression modeling techniques without subsequent performance analysis regarding predictive ability of the fitted model can result in poorly fitting results that inaccurately predict outcomes on new subjects. Model validation is possibly the most important step in the model building sequence. Model validity refers to the stability and reasonableness of the logistic regression coefficients, the plausibility and usability of the fitted logistic regression function, and the ability to generalize inferences drawn from the analysis. The aim of this study is to evaluate and measure how effectively the fitted logistic regression model describes the outcome variable both in the sample and in the population. A straightforward and fairly popular split-sample approach has been used here to validate the model. Different summary measures of goodness-of-fit and other supplementary indices of predictive ability of the fitted model indicate that the fitted binary logistic regression model can be used to predict the new subjects. WSEAS Press 2010 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/64985/1/EH-09.pdf Rana, Md. Sohel and Midi, Habshah and Sarkar, Saroje Kumar (2010) Validation and performance analysis of binary logistic regression model. In: WSEAS International Conference on Environment, Medicine and Health Sciences (EMEH '10), 23-25 Mar. 2010, Penang, Malaysia. (pp. 51-55).
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Application of logistic regression modeling techniques without subsequent performance analysis regarding predictive ability of the fitted model can result in poorly fitting results that inaccurately predict outcomes on new subjects. Model validation is possibly the most important step in the model building sequence. Model validity refers to the stability and reasonableness of the logistic regression coefficients, the plausibility and usability of the fitted logistic regression function, and the ability to generalize inferences drawn from the analysis. The aim of this study is to evaluate and measure how effectively the fitted logistic regression model describes the outcome variable both in the sample and in the population. A straightforward and fairly popular split-sample approach has been used here to validate the model. Different summary measures of goodness-of-fit and other supplementary indices of predictive ability of the fitted model indicate that the fitted binary logistic regression model can be used to predict the new subjects.
format Conference or Workshop Item
author Rana, Md. Sohel
Midi, Habshah
Sarkar, Saroje Kumar
spellingShingle Rana, Md. Sohel
Midi, Habshah
Sarkar, Saroje Kumar
Validation and performance analysis of binary logistic regression model
author_facet Rana, Md. Sohel
Midi, Habshah
Sarkar, Saroje Kumar
author_sort Rana, Md. Sohel
title Validation and performance analysis of binary logistic regression model
title_short Validation and performance analysis of binary logistic regression model
title_full Validation and performance analysis of binary logistic regression model
title_fullStr Validation and performance analysis of binary logistic regression model
title_full_unstemmed Validation and performance analysis of binary logistic regression model
title_sort validation and performance analysis of binary logistic regression model
publisher WSEAS Press
publishDate 2010
url http://psasir.upm.edu.my/id/eprint/64985/1/EH-09.pdf
http://psasir.upm.edu.my/id/eprint/64985/
_version_ 1643838184600109056
score 13.211869

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