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Correcting for measurement error in individual-level covariates in nonlinear mixed effects models.

Publication ,  Journal Article
Ko, H; Davidian, M
Published in: Biometrics
June 2000

The nonlinear mixed effects model is used to represent data in pharmacokinetics, viral dynamics, and other areas where an objective is to elucidate associations among individual-specific model parameters and covariates; however, covariates may be measured with error. For additive measurement error, we show substitution of mismeasured covariates for true covariates may lead to biased estimators for fixed effects and random effects covariance parameters, while regression calibration may eliminate bias in fixed effects but fail to correct that in covariance parameters. We develop methods to take account of measurement error that correct this bias and may be implemented with standard software, and we demonstrate their utility via simulation and application to data from a study of HIV dynamics.

Duke Scholars

Published In

Biometrics

DOI

ISSN

0006-341X

Publication Date

June 2000

Volume

56

Issue

2

Start / End Page

368 / 375

Location

England

Related Subject Headings

  • Virus Physiological Phenomena
  • Statistics & Probability
  • Regression Analysis
  • Pharmacokinetics
  • Models, Statistical
  • Calibration
  • Biometry
  • 4905 Statistics
  • 0199 Other Mathematical Sciences
  • 0104 Statistics
 

Citation

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Chicago
ICMJE
MLA
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Ko, H., & Davidian, M. (2000). Correcting for measurement error in individual-level covariates in nonlinear mixed effects models. Biometrics, 56(2), 368–375. https://doi.org/10.1111/j.0006-341x.2000.00368.x
Ko, H., and M. Davidian. “Correcting for measurement error in individual-level covariates in nonlinear mixed effects models.Biometrics 56, no. 2 (June 2000): 368–75. https://doi.org/10.1111/j.0006-341x.2000.00368.x.
Ko, H., and M. Davidian. “Correcting for measurement error in individual-level covariates in nonlinear mixed effects models.Biometrics, vol. 56, no. 2, June 2000, pp. 368–75. Pubmed, doi:10.1111/j.0006-341x.2000.00368.x.
Journal cover image

Published In

Biometrics

DOI

ISSN

0006-341X

Publication Date

June 2000

Volume

56

Issue

2

Start / End Page

368 / 375

Location

England

Related Subject Headings

  • Virus Physiological Phenomena
  • Statistics & Probability
  • Regression Analysis
  • Pharmacokinetics
  • Models, Statistical
  • Calibration
  • Biometry
  • 4905 Statistics
  • 0199 Other Mathematical Sciences
  • 0104 Statistics