MEBoost: Variable selection in the presence of measurement error
Author:
Affiliation:
1. NAMSA Minneapolis Minnesota
2. Minneapolis Medical Research Foundation Minneapolis Minnesota
3. Division of Biostatistics, School of Public HealthUniversity of Minnesota Minneapolis Minnesota
Publisher
Wiley
Subject
Statistics and Probability,Epidemiology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.8130
Reference21 articles.
1. Regression calibration method for correcting measurement-error bias in nutritional epidemiology
2. Regression Calibration When Foods (Measured With Error) Are the Variables of Interest: Markedly Non-Gaussian Data With Many Zeroes
3. Correction of Logistic Regression Relative Risk Estimates and Confidence Intervals for Random Within-Person Measurement Error
4. Measurement error in Lasso: impact and likelihood bias correction;Sørensen Ø;Stat Sin,2015
5. CoCoLasso for high-dimensional error-in-variables regression
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