Different ways of incorporating data below the quantification limit in datasets for parameter estimation

Hennig, Stefanie and Duffull, Stephen (2007). Different ways of incorporating data below the quantification limit in datasets for parameter estimation. In: PAGANZ 07: Population Approach Group in Australia and New Zealand, Singapore, (). 13-15 February 2007.

Author Hennig, Stefanie
Duffull, Stephen
Title of paper Different ways of incorporating data below the quantification limit in datasets for parameter estimation
Conference name PAGANZ 07: Population Approach Group in Australia and New Zealand
Conference location Singapore
Conference dates 13-15 February 2007
Convener Population Approach Group in Australia and New Zealand (PAGANZ)
Journal name Abstracts of the Annual Meeting of the Population Approach Group in Europe
Place of Publication Leiden, Netherlands
Publisher Population Approach Group in Europe
Publication Year 2007
Sub-type Published abstract
ISSN 1871-6032
Language eng
Formatted Abstract/Summary
Background: The handling of data below the lower limit of quantification (LLOQ) and the limit of detection (LOD) continues to be a challenge in pharmacokinetic analyses. The LLOQ is the lowest concentration of an analyte in a sample which can be measured with a predefined acceptable level of accuracy and precision (± 20 %). Whereas the LOD is the lowest concentration of an analyte that the assay can reliably differentiate from background noise. Often concentrations below these quantification limits (BQL) will not be reported by analytic chemists.

Conclusion: To incorporate missing data, using the simple Beal method 5 (using half LOD for all samples below LOD) provided comparable results to the more complex but theoretically better Beal method 4 (integration method).
Q-Index Code CX
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Conference Paper
Collection: School of Pharmacy Publications
 
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Created: Wed, 23 Mar 2011, 11:50:02 EST by Dr Stefanie Hennig on behalf of School of Pharmacy