A comparison of regression calibration approaches for designs with internal validation data

DOI10.1016/J.JSPI.2003.12.015zbMath1062.62243OpenAlexW2012106517WikidataQ96592491 ScholiaQ96592491MaRDI QIDQ1776865

Paige L. Williams, Sally W. Thurston, Donna Spiegelman, Mauricio Hernandez-Avila, Russ Hauser, Howard H. Hu

Publication date: 12 May 2005

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

Full work available at URL: https://doi.org/10.1016/j.jspi.2003.12.015

zbMATH Keywords

Measurement errorErrors-in-variablesBone leadInternal validation study

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (3)

Errors-in-variables beta regression models ⋮ Stratified Logrank Test of No Randomized Treatment Effect with Missing Stratum Information ⋮ A study of regression calibration in a partially observed stratified Cox model

Uses Software

• bootstrap
• BLINPLUS
• relibpls8

Cites Work

• BLINPLUS
• relibpls8
• Equivalence of regression calibration methods in main study/external validation study designs
• Covariate measurement errors and parameter estimation in a failure time regression model
• Measurement error in the generalised linear model
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