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Calibration

  1. J. Jack Lee1,
  2. Hojin Moon2

Published Online: 15 JUL 2005

DOI: 10.1002/0470011815.b2a06006

Encyclopedia of Biostatistics

Encyclopedia of Biostatistics

How to Cite

Lee, J. J. and Moon, H. 2005. Calibration. Encyclopedia of Biostatistics. 1.

Author Information

  1. 1

    University of Texas, Anderson Cancer Center, Houston, TX, USA

  2. 2

    Food and Drug Administration, Jefferson, AR, USA

Publication History

  1. Published Online: 15 JUL 2005

Abstract

Statistical calibration is often used in biomedicine as a means to estimate the quantity of a substance that is difficult or expensive to measure by another measurement, which is easier or cheaper to obtain. Classical or inverse estimators can be computed from parametric or nonparametric regression models. Multivariate calibration, Bayesian modeling, and optimal designs are reviewed. Selected topics such as interval estimation, measurement error, robustness, heteroscedasticity, instrumental calibration, and survey sampling are discussed as well.

Keywords:

  • Bayesian calibration;
  • interval estimation;
  • inverse regression;
  • multivariate calibration;
  • nonlinear calibration;
  • optimal design;
  • robustness