The Application of Robust Calibration to Radioimmunoassay.

Abstract

In this paper, a new approach to the analysis of RIA data is discussed. An algorithm is presented for obtaining the M-estimates of nonlinear calibration curves. The curves to be fitted are modified hyperbolae based on 12 to 16 observations. A procedure, based on the application of the Bonferroni Inequality, is presented for obtaining tolerance-like interval estimates of the concentration of the hormone of interest in the patients. Results of simulations are cited to support the method of construction of confidence bands for the fitted calibration curve. Data obtained from the Veteran's Hospital, Buffalo, New York are used for examples throughout the paper. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1977
Accession Number
ADA056351

Entities

People

  • James J. Tiede
  • Marcello Pagano

Organizations

  • University at Buffalo

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Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

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  • Algorithms
  • Analysis Of Variance
  • Computer Science
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  • Data Sets
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  • Information Science
  • Network Science
  • New York
  • Simulations
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  • United States

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  • Approximation Theory.
  • Molecular and Cellular Biochemistry
  • Statistical inference.