Modeling categorical variables by logistic regression

American Journal of Health Behavior
C Y PengJ Keck

Abstract

To demonstrate the use of logistic regression in health care research. 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. 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<0.05, (b) significant improvement of this model over competing models, and (c) goodness of fit indices. Logistic regression is useful for health-related research in which outcomes of interest are often categorical.

Citations

Jun 21, 2005·The Journal of Adolescent Health : Official Publication of the Society for Adolescent Medicine·R Scott OldsJennifer Ray Tomasek
May 25, 2002·Cancer Practice·Shirley Otis-GreenReverend Pamela Baird
Apr 23, 2021·Ecological Applications : a Publication of the Ecological Society of America·Jeremy DeedsLinda C Bacon
Jun 15, 2021·Heliyon·Md Rifat HossainZuairia Zahra

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