Increasing the power: a practical approach to goodness-of-fit test for logistic regression models with continuous predictors

DOI10.1016/j.csda.2007.09.027zbMath1452.62323OpenAlexW2094102648MaRDI QIDQ1023599

J. Martínez

Publication date: 12 June 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2007.09.027

zbMATH Keywords

logistic regressioncluster analysisgoodness-of-fit testgeneralized linear modelcontinuous covariates

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)

Related Items

Investigating the power of goodness-of-fit tests for multinomial logistic regression ⋮ Is a Classification Procedure Good Enough?—A Goodness-of-Fit Assessment Tool for Classification Learning ⋮ A comparison of the Hosmer–Lemeshow, Pigeon–Heyse, and Tsiatis goodness-of-fit tests for binary logistic regression under two grouping methods ⋮ An omnibus lack of fit test in logistic regression with sparse data

Cites Work

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• A Monte Carlo study of thirty internal criterion measures for cluster analysis
• Goodness-of-fit statistics for discrete multivariate data
• An information matrix test for logistic regression models based on case-control data
• Best Subsets Logistic Regression
• Some Recent Results in Chi-Square Goodness-of-Fit Tests
• Biased estimates of treatment effect in randomized experiments with nonlinear regressions and omitted covariates
• On the Asymptotic Distribution of Pearson's Statistic in Linear Exponential-Family Models
• Tests for no treatment effect in randomized clinical trials
• Generalized Linear Model Diagnostics Using the Deviance and Single Case Deletions
• A note on a goodness-of-fit test for the logistic regression model
• Goodness of fit tests for the multiple logistic regression model
• Some Surprising Results about Covariate Adjustment in Logistic Regression Models
• Normal Goodness-of-Fit Tests for Multinomial Models with Large Degrees of Freedom
• Distribution of the chi-squared test in nonstandard situations
• Goodness-of-Fit Tests for GEE Modeling with Binary Responses
• A Goodness-of-Fit Test for Binary Regression Models, Based on Smoothing Methods
• A cautionary note about assessing the fit of logistic regression models
• Separate sample logistic discrimination
• Linear Statistical Inference and its Applications
• The Use of Maximum Likelihood Estimates in $\chi^2$ Tests for Goodness of Fit
• Maximum Likelihood Estimation of Misspecified Models