Errors in variables regression with value-censored data

Douglas M. Hawkins, Christina Weckwerth

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


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
Issue number6
StatePublished - Jun 1 2016


  • Method comparison
  • Variance modeling
  • Weighted Deming regression

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