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An example of a bootstrap technique application for judging a variability of method performance estimates and its
Wojciech Gernand1, Bogdan Solnica, Jerzy W Naskalski
1Department of Clinical Biochemistry, Jagiellonian University Medical College, Krakow, Poland. gernand@wp.pl
Summary
Method performance estimates can vary due to random data. The bootstrap technique helps assess this variability, improving quality control planning by considering performance probabilistically.
Area of Science:
- Clinical Chemistry
- Laboratory Medicine
- Quality Management
Background:
- Effective quality management requires flexible quality control (QC) procedures tailored to method performance.
- Limited QC data for bias and imprecision calculations can lead to variable method performance assessments due to inherent randomness.
Purpose of the Study:
- To demonstrate the application of the bootstrap technique for evaluating method performance estimates.
- To highlight the importance of accounting for variability in method performance assessment.
Main Methods:
- Application of the bootstrap technique to analyze method performance.
- Evaluation of quality control results using resampling methods.
Main Results:
- Method performance assessments exhibit significant variability that must be acknowledged.
- Probabilistic interpretation of method performance is recommended for accurate assessment.
- Quality control procedure effectiveness should be evaluated considering performance probabilities.
Conclusions:
- The bootstrap technique enhances understanding of the uncertainty in method performance judgments.
- Awareness of uncertainty aids in more robust quality control planning.
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