Journal ArticleDOI
Modeling categorical variables by logistic regression.
TLDR
Logistic regression is useful for health-related research in which outcomes of interest are often categorical, and four variables were identified as effective predictors of pain reporting by cancer patients during chemotherapy.Abstract:
OBJECTIVE: To demonstrate the use of logistic regression in health care research METHOD: Forward and backward stepwise logistic regression algorithms were systematically applied to a real-world data set comprising 301 cancer patients and a set of explanatory variables RESULTS: Four variables were identified as effective predictors of pain reporting by cancer patients during chemotherapy: fatigue, depression, severity of colds or viral infections, and insomnia The 4-predictor model was validated by (a) significance tests of regression coefficients at p<005, (b) significant improvement of this model over competing models, and (c) goodness of fit indices CONCLUSIONS: Logistic regression is useful for health-related research in which outcomes of interest are often categoricalread more
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Journal ArticleDOI
An Introduction to Logistic Regression Analysis and Reporting
TL;DR: In this paper, a set of guidelines for what to expect in an article using logistic regression techniques are discussed. But they do not cover the application of logistic methods to a data set in testing a research hypothesis.
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Relations between normative beliefs and initiation intentions toward cigarette, alcohol and marijuana.
TL;DR: Among adolescents with no prior use, normative beliefs concerning close friends and siblings may play an important role in the catalysis and support of intentions to initiate substance use.
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Application of remote sensing and machine learning algorithms for forest fire mapping in a Mediterranean area
Meriame Mohajane,Romulus Costache,Firoozeh Karimi,Quoc Bao Pham,Ali Essahlaoui,Hoang Nguyen,Giovanni Laneve,Fatiha Oudija +7 more
TL;DR: In this paper, the authors developed five hybrid machine learning algorithms namely, Frequency Ratio-Multilayer Perceptron (FR-MLP), Frequency Ratio Logistic Regression (FRL), CART-FR, LR-FR and SVM-SVM for mapping forest fire susceptibility in the north of Morocco.
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Using Multinomial Logistic Models To Predict Adolescent Behavioral Risk
Journal ArticleDOI
Running a Best-Subsets Logistic Regression: An Alternative to Stepwise Methods.
TL;DR: Using a sample data set, this article briefly describes in nonmathematical terms how to implement and interpret results from a best-subsets logistic regression using SAS.