Goodness-of-fit methods for matched case-control studies

DOI10.2307/3316022zbMath1059.62110OpenAlexW1975470246MaRDI QIDQ4673115

Patrick G. Arbogast, D. Y. Lin

Publication date: 29 April 2005

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/3316022

zbMATH Keywords

logistic regressionresidualslink functionconditional likelihoodcumulative residualmodel missspecification

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12) Non-Markovian processes: hypothesis testing (62M07) Diagnostics, and linear inference and regression (62J20)

Related Items (6)

Testing the fit of the logistic model for matched case-control studies ⋮ A Goodness-of-Fit Test for Logistic Regression Models in Stratified Case-Control Studies via Empirical Likelihood ⋮ Sampling for Conditional Inference on Case–Control Data ⋮ Sampling for Conditional Inference on Case–Control Data ⋮ On the validity of within-nuclear-family genetic association analysis in samples of extended families ⋮ Using cumulative sums of martingale residuals for model checking in nested case-control studies

Cites Work

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• A geometric approach to nonlinear regression diagnostics with application to matched case-control studies
• Model-Checking Techniques Based on Cumulative Residuals
• Checking the Cox model with cumulative sums of martingale-based residuals
• Assessing the Fit of the Logistic Regression Model to Individual Matched Sets of Case-Control Data

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