mecor
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) doi:10.1002/1097-0258(20010115)20:1<139::AID-SIM644>3.0.CO;2-K20:1%3C139::AID-SIM644%3E3.0.CO;2-K) and maximum likelihood estimation by Bartlett JW, Stavola DBL & Frost C (2009) doi:10.1002/sim.3713. 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) doi:10.1002/sim.7011. Standard error estimation of the corrected estimators is implemented by means of the Delta method by Rosner B, Spiegelman D & Willett WC (1990) doi:10.1093/oxfordjournals.aje.a115715 and Rosner B, Spiegelman D & Willett WC (1992) doi:10.1093/oxfordjournals.aje.a116453, 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).
- Version1.0.0
- R version≥ 2.10
- LicenseGPL-3
- Needs compilation?No
- Last release12/01/2021
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Linda Nab
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- Imports3 packages
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