An Improved Goodness-of-Fit Test for Logistic Regression Models Based on Case-Control Data by Random Partition

DOI10.1080/03610910802460754zbMath1161.62018OpenAlexW1976386494MaRDI QIDQ3616265

Xin Deng, Biao Zhang, Shuwen Wan

Publication date: 24 March 2009

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610910802460754

zbMATH Keywords

logistic regressiongoodness-of-fitempirical likelihoodcase-control datadensity ratio model

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Generalized linear models (logistic models) (62J12) Order statistics; empirical distribution functions (62G30)

Related Items (2)

Semiparametric modelling of two-component mixtures with stochastic dominance ⋮ Efficient Hellinger distance estimates for semiparametric models

Cites Work

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• Quantile estimation under a two-sample semi-parametric model
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• Approximation Theorems of Mathematical Statistics
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• A goodness-of-fit test for logistic regression models based on case-control data
• A chi-squared goodness-of-fit test for logistic regression models based on case-control data
• Maximum Likelihood Estimation of Misspecified Models

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