Assessing the impact of measurement error in modeling change in the absence of auxiliary data

DOI10.1080/03610926.2015.1040508zbMath1402.62160OpenAlexW2326962517MaRDI QIDQ2979025

Mose Andre, Michal Juraska, Thomas Lumley, N. David Yanez III, Ibrahim Aljasser, Cheng-Cheng Hu

Publication date: 2 May 2017

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2015.1040508

zbMATH Keywords

sensitivity analysiserrors in variableslinear regressionmethod of momentsmeasurement error variancemeasurement reliability

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10) Measures of association (correlation, canonical correlation, etc.) (62H20)

Cites Work

• A New Method for Dealing with Measurement Error in Explanatory Variables of Regression Models
• Measurement Error in Nonlinear Models

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