R package for analysis of data with mixed measurement error and misclassification in covariates: augSIMEX

DOI10.1080/00949655.2019.1615911OpenAlexW2946269157MaRDI QIDQ5107457

Qihuang Zhang, Grace Y. Yi

Publication date: 27 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2019.1615911

zbMATH Keywords

measurement errorgeneralized linear modelmisclassificationaugmented simulation-extrapolation algorithm

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

augSIMEX

Uses Software

• R
• CRAN
• MASS (R)
• RootSolve
• Rcpp
• NPsimex
• nleqslv
• simex
• Formula

Cites Work

• Statistical analysis with measurement error or misclassification. Strategy, method and application
• Empirical simulation extrapolation for measurement error models with replicate measurements.
• Statistical Analysis of Financial Data in S-Plus
• Simulation-Extrapolation Estimation in Parametric Measurement Error Models
• Functional and Structural Methods With Mixed Measurement Error and Misclassification in Covariates
• Seamless R and C++ Integration with Rcpp
• A General Method for Dealing with Misclassification in Regression: The Misclassification SIMEX
• Measurement Error in Nonlinear Models

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