Errors in variables regression with value-censored data

Douglas M. Hawkins, Christina Weckwerth

Research output: Contribution to journalArticle

Abstract

Samples with analyte concentrations outside a method's dynamic range are a reality of clinical chemistry and are particularly of interest in method comparison studies. The most obvious remedy-to ignore any such values-introduces bias and loses the information that censored data might add to the analysis. Extending conventional errors-in-variables methods to incorporate value-censored data recovers this information. The formulation presented uses a variance model more flexible than either the constant variance or the constant coefficient of variation models.

Original languageEnglish (US)
Pages (from-to)332-335
Number of pages4
JournalJournal of Chemometrics
Volume30
Issue number6
DOIs
StatePublished - Jun 1 2016

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Errors in Variables
Censored Data
Regression
Method Comparison
Coefficient of variation
Dynamic Range
Chemistry
Formulation
Model
Clinical Chemistry

Keywords

  • Method comparison
  • Variance modeling
  • Weighted Deming regression

Cite this

Errors in variables regression with value-censored data. / Hawkins, Douglas M.; Weckwerth, Christina.

In: Journal of Chemometrics, Vol. 30, No. 6, 01.06.2016, p. 332-335.

Research output: Contribution to journalArticle

Hawkins, Douglas M. ; Weckwerth, Christina. / Errors in variables regression with value-censored data. In: Journal of Chemometrics. 2016 ; Vol. 30, No. 6. pp. 332-335.
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