On quadratic logistic regression models when predictor variables are subject to measurement error

DOI10.1016/J.CSDA.2015.09.012zbMath1468.62184OpenAlexW1882353690WikidataQ60461671 ScholiaQ60461671MaRDI QIDQ1659487

Wen-Han Hwang, Yih-Huei Huang, Elise Furlan, Jakub Stoklosa

Publication date: 15 August 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2015.09.012

zbMATH Keywords

regression calibrationfunctional measurement errorquadratic logistic regressionweighted corrected score

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)

Related Items (2)

Parameter estimation approaches to tackling measurement error and multicollinearity in ordinal probit models ⋮ Estimating the size of an open population using sparse capture-recapture data

Uses Software

• emdbook

Cites Work

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• Are There Two Regressions?

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