Consecutive collapsibility of logistic regression coefficients over an ordinal background

DOI10.1016/S0378-3758(02)00117-9zbMath1023.62075MaRDI QIDQ1395872

Zhi Geng, Ning-Zhong Shi, Jian-hua Guo

Publication date: 1 July 2003

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

zbMATH Keywords

collapsibilitylogistic regressionordinal background variableYule-Simpson's paradox

Mathematics Subject Classification ID

Generalized linear models (logistic models) (62J12) Contingency tables (62H17) Diagnostics, and linear inference and regression (62J20)

Cites Work

• Moderating effects of subgroups in linear models
• Some Surprising Results about Covariate Adjustment in Logistic Regression Models
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