Effects of omitting a covariate in poisson models when the data are balanced

DOI10.2307/3315990zbMath0962.62069OpenAlexW2002364333WikidataQ23917902 ScholiaQ23917902MaRDI QIDQ4521150

James A. Deddens, Martin R. Petersen

Publication date: 19 June 2001

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

Full work available at URL: https://semanticscholar.org/paper/a1d42be6ab970a1407320b311e0c7e3fd49bbe59

zbMATH Keywords

Poisson modelmaximum-likelihood estimation

Mathematics Subject Classification ID

Point estimation (62F10) Generalized linear models (logistic models) (62J12)

Related Items (2)

Effect of Covariate Omission in Randomised Controlled Trials: A Review and Simulation Study ⋮ Zero-inflated models for adjusting varying exposures: a cautionary note on the pitfalls of using offset

Uses Software

• PROC GENMOD
• PROC REPORT

Cites Work

• The Effect of Pooling Across Strata in Perfectly Balanced Studies
• Biased estimates of treatment effect in randomized experiments with nonlinear regressions and omitted covariates

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