Measurement Error Correction in Linear Models with a Continuous Outcome

Covariate measurement error correction is implemented by means of regression calibration by Carroll RJ, Ruppert D, Stefanski LA & Crainiceanu CM (2006, ISBN:1584886331), efficient regression calibration by Spiegelman D, Carroll RJ & Kipnis V (2001) and maximum likelihood estimation by Bartlett JW, Stavola DBL & Frost C (2009) . Outcome measurement error correction is implemented by means of the method of moments by Buonaccorsi JP (2010, ISBN:1420066560) and efficient method of moments by Keogh RH, Carroll RJ, Tooze JA, Kirkpatrick SI & Freedman LS (2014) . Standard error estimation of the corrected estimators is implemented by means of the Delta method by Rosner B, Spiegelman D & Willett WC (1990) and Rosner B, Spiegelman D & Willett WC (1992) , the Fieller method described by Buonaccorsi JP (2010, ISBN:1420066560), and the Bootstrap by Carroll RJ, Ruppert D, Stefanski LA & Crainiceanu CM (2006, ISBN:1584886331).


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install.packages("mecor")

0.9.0 by Linda Nab, 6 months ago


https://github.com/LindaNab/mecor


Browse source code at https://github.com/cran/mecor


Authors: Linda Nab


Documentation:   PDF Manual  


GPL-3 license


Imports lme4, lmerTest, numDeriv

Suggests knitr, rmarkdown


See at CRAN