Various Graphical Methods for Assessing a Logistic Regression Model Kim, Kyung Jin; Kahng, Myung Wook;
Most statistical methods are dependent on the summary statistic. However, with graphical approaches, it is easier to identify the characteristics of the data and detect information that cannot be obtained by the summary statistic. We present various graphical methods to assess the adequacy of models in logistic regression that include checking log-density ratio, structural dimension, marginal model plot, chi-residual plot, and CERES plot. Through simulation data, we investigate and compare the results of graphical approaches under diverse conditions.
binary response plot;CERES plot;chi-residual plot;log-density ratio;marginal model plot;structural dimension;
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