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A new approach to evaluate regression models during validation of bioanalytical assays.

Abstract:

The quality of bioanalytical data is highly dependent on using an appropriate regression model for calibration curves. Non-weighted linear regression has traditionally been used but is not necessarily the optimal model. Bioanalytical assays generally benefit from using either data transformation and/or weighting since variance normally increases with concentration. A data set with calibrators ranging from 9 to 10000 ng/mL was used to compare a new approach with the traditional approach for se...

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Publisher copy:
10.1016/j.jpba.2005.11.006

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Journal:
Journal of pharmaceutical and biomedical analysis
Volume:
41
Issue:
1
Pages:
219-227
Publication date:
2006-04-05
DOI:
EISSN:
1873-264X
ISSN:
0731-7085
URN:
uuid:67cd8c80-06f6-4a59-8508-b6fef04a0354
Source identifiers:
15139
Local pid:
pubs:15139

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