Correcting for Omitted-Variables and Measurement-Error Bias in Regression with an Application to the Effect of Lead on IQ

DOI10.2307/2670095zbMath0926.62109OpenAlexW4248602515MaRDI QIDQ4216947

William E. Wecker, M. Laurentius Marais

Publication date: 28 November 1999

Full work available at URL: https://doi.org/10.2307/2670095

zbMATH Keywords

errors in variablesauxiliary informationbias correctionconfounding

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (3)

Eliminating the omitted variable bias by a regime-switching approach ⋮ Investigating omitted variable bias in regression parameter estimation: a genetic algorithm approach ⋮ Expert statistical testimony and epidemiological evidence: The toxic effects of lead exposure on children

This page was built for publication: Correcting for Omitted-Variables and Measurement-Error Bias in Regression with an Application to the Effect of Lead on IQ