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Original Articles

A Simulation Study to Investigate the Behavior of the Log-Density Ratio Under Normality

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Pages 159-178 | Published online: 20 Aug 2007

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Read on this site (3)

Hülya Olmuş, Ezgi Nazman & Semra Erbaş. (2022) Comparison of penalized logistic regression models for rare event case. Communications in Statistics - Simulation and Computation 51:4, pages 1578-1590.
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Jason S. Bergtold, Elizabeth A. Yeager & Allen M. Featherstone. (2018) Inferences from logistic regression models in the presence of small samples, rare events, nonlinearity, and multicollinearity with observational data. Journal of Applied Statistics 45:3, pages 528-546.
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Jason S. Bergtold & Eberechukwu Onukwugha. (2014) The probabilistic reduction approach to specifying multinomial logistic regression models in health outcomes research. Journal of Applied Statistics 41:10, pages 2206-2221.
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Articles from other publishers (9)

Jason S. Bergtold, Krishna P. Pokharel, Allen M. Featherstone & Lijia Mo. (2017) On the examination of the reliability of statistical software for estimating regression models with discrete dependent variables. Computational Statistics 33:2, pages 757-786.
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Bebonchu Atems & Jason Bergtold. (2016) Revisiting the statistical specification of near-multicollinearity in the logistic regression model. Studies in Nonlinear Dynamics & Econometrics 20:2, pages 199-210.
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Kyung Jin Kim & Myung Wook Kahng. (2015) Various Graphical Methods for Assessing a Logistic Regression Model. Korean Journal of Applied Statistics 28:6, pages 1191-1208.
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Myung Wook Kahng. (2015) Model assessment with residual plot in logistic regression. Journal of the Korean Data and Information Science Society 26:1, pages 141-150.
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Myung-Wook Kahng. (2014) Exploring interaction using 3-D residual plots in logistic regression model. Journal of the Korean Data and Information Science Society 25:1, pages 177-185.
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Myung Wook Kahng & Jae Eun Yoon. (2013) Log-density Ratio with Two Predictors in a Logistic Regression Model. Korean Journal of Applied Statistics 26:1, pages 141-149.
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Myung-Wook Kahng & Eun-Young Shin. (2012) A study on log-density with log-odds graph for variable selection in logistic regression. Journal of the Korean Data and Information Science Society 23:1, pages 99-111.
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Myung-Wook Kahng & Eun-Young Shin. (2012) Variable Selection with Log-Density in Logistic Regression Model. Communications for Statistical Applications and Methods 19:1, pages 1-11.
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Jason S. Bergtold, Aris Spanos & Eberechukwu Onukwugha. (2010) Bernoulli Regression Models: Revisiting the Specification of Statistical Models with Binary Dependent Variables. Journal of Choice Modelling 3:2, pages 1-28.
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