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measurement error correction

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LindaNab/mecor

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This package for R implements measurement error correction methods formeasurement error in a continuous covariate or outcome in a linear modelwith a continuous outcome.

Installation

The package can be installed via

devtools::install_github("LindaNab/mecor",build_vignettes=TRUE)

Quick demo

library(mecor)# load the internal covariate validation studydata("vat",package="mecor")head(vat)# correct the biased exposure-outcome associationmecor(ir_ln~ MeasError(substitute=wc,reference=vat)+age+sex+tbf,data=vat,method="standard")

More examples

Browse the vignettes of the package for more information.

browseVignettes(package="mecor")

References

Key reference

  • Nab L, van Smeden M, Keogh RH, Groenwold RHH. mecor: an R packagefor measurement error correction in linear models with a continuousoutcome. 2021:208:106238.doi:10.1016/j.cmpb.2021.106238

References to methods implemented in the package

  • Bartlett JW, Stavola DBL, Frost C. Linear mixed models forreplication data to efficiently allow for covariate measurementerror. Statistics in Medicine. 2009:28(25):3158–3178.doi:10.1002/sim.3713

  • Buonaccorsi JP. Measurement error: Models, methods, andapplications. 2010. Chapman & Hall/CRC, Boca Raton.

  • Carroll RJ, Ruppert D, Stefanski LA, Crainiceanu CM. Measurementerror in non-linear models: A modern perspective. 2006, 2nd edition.Chapman & Hall/CRC, Boca Raton.

  • Keogh RH, Carroll RJ, Tooze JA, Kirkpatrick SI, Freedman LS.Statistical issues related to dietary intake as the responsevariable in intervention trials. Statistics in Medicine.2016:35(25):4493–4508.doi:10.1002/sim.7011

  • Keogh RH, White IR. A toolkit for measurement error correction, witha focus on nutritional epidemiology. Statistics in Medicine2014:33(12):2137–2155.doi:10.1002/sim.6095

  • Nab L, Groenwold RHH, Welsing PMJ, van Smeden M. Measurement errorin continuous endpoints in randomised trials: Problems andsolutions. Statistics in Medicine. 2019:38(27):5182-5196.doi:10.1002/sim.8359

  • Rosner B, Spiegelman D, Willett WC. Correction of logisticregression relative risk estimates and confidence intervals formeasurement error: The case of multiple covariates measured witherror. 1990:132(4):734-745.doi:10.1093/oxfordjournals.aje.a115715

  • Rosner B, Spiegelman D, Willett WC. Correction of logisticregression relative risk estimates and confidence intervals forrandom within-person measurement error. American Journal ofEpidemiology. 1992:136(11):1400-1413.doi:10.1093/oxfordjournals.aje.a116453

  • Spiegelman D, Carroll RJ, Kipnis V. Efficient regression calibrationfor logistic regression in main study/internal validation studydesigns with an imperfect reference instrument. Statistics inMedicine. 2001:20(1):139-160.doi:10.1002/1097-0258(20010115)20:1<139::AID-SIM644>3.0.CO;2-K

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