How to Improve Total Error Modeling by Accounting for Error Sources Beyond Imprecision and Bias
نویسندگان
چکیده
منابع مشابه
Multi-factor designs. IV. How multi-factor designs improve the estimate of total error by accounting for protocol-specific biases.
Total error is often calculated as a combination of random error and fixed bias. However, the specific protocols used to estimate random error and fixed bias are themselves variable factors that can affect the estimate of total error. We refer to biases such as assay drift, sample-to-sample carryover, and reagent carryover as examples of fixed biases that are protocol-specific and distinguish t...
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ژورنال
عنوان ژورنال: Clinical Chemistry
سال: 2001
ISSN: 0009-9147,1530-8561
DOI: 10.1093/clinchem/47.7.1329