Predicting Dichotomous Outcomes: Logistic Regression, and Receiver Operating Characteristic
Joseph D. Schulman
Abstract
Joseph D. Schulman
Abstract
The prelims comprise: The aim of logistic regression The logistic model Using Stata for logistic regression analysis The receiver operating characteristic curve Indicator variables in logistic regression Testing the linear trend Evaluating how well the logistic model fits the data Using Stata to compute sensitivity and specificity Key points in evaluating a logistic model
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The prelims comprise: The aim of logistic regression The logistic model Using Stata for logistic regression analysis The receiver operating characteristic curve Indicator variables in logistic regression Testing the linear trend Evaluating how well the logistic model fits the data Using Stata to compute sensitivity and specificity Key points in evaluating a logistic model
Key concepts: Logistic regression, Logistic model tree, Statistics, Receiver operating characteristic, Multinomial logistic regression, Regression analysis, Logistic distribution, Regression diagnostic