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http://dx.doi.org/10.5351/KJAS.2015.28.6.1191

Various Graphical Methods for Assessing a Logistic Regression Model  

Kim, Kyung Jin (Department of Statistics, Sookmyung Women's University)
Kahng, Myung Wook (Department of Statistics, Sookmyung Women's University)
Publication Information
The Korean Journal of Applied Statistics / v.28, no.6, 2015 , pp. 1191-1208 More about this Journal
Abstract
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.
Keywords
binary response plot; CERES plot; chi-residual plot; log-density ratio; marginal model plot; structural dimension;
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