Reducing over-dispersion by generalized degree of freedom and propensity score

DOI10.1016/S0167-9473(02)00223-2zbMath1429.62321OpenAlexW1970977354MaRDI QIDQ951918

Ie-Bin Lian

Publication date: 4 November 2008

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

Full work available at URL: https://doi.org/10.1016/s0167-9473(02)00223-2

zbMATH Keywords

logistic regressionbias correctionconfounder selection

Mathematics Subject Classification ID

Generalized linear models (logistic models) (62J12)

Related Items (1)

On generalized degrees of freedom with application in linear mixed models selection

Cites Work

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• The central role of the propensity score in observational studies for causal effects
• On Measuring and Correcting the Effects of Data Mining and Model Selection
• Asymptotics of forced-in variables from screening processes

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