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Accuracy and Precision

Accuracy and Precision

Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. Highly accurate measurements...

Accuracy and Precision

Accuracy and Precision

Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. Highly accurate measurements...

Uncertainty in Measurement: Accuracy and Precision

Uncertainty in Measurement: Accuracy and Precision

Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.

Data Validation

Data Validation

Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:

Testing a Claim about Standard Deviation

Testing a Claim about Standard Deviation

A complete procedure to test a claim about population standard deviation or population variance is explained here.
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...

Statistical Analysis: Overview

Statistical Analysis: Overview

When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...

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Evaluating assay precision.

Douglas Chesher¹

¹Department of Clinical Biochemistry, Pacific Laboratory Medicine Services, Royal North Shore Hospital, St Leonards, NSW 2065, Australia. dougc@med.usyd.edu.au

The Clinical Biochemist. Reviews

|October 15, 2008

Summary

Assessing method precision requires evaluating both within-run repeatability and total within-laboratory precision, not just repeatability in a single run. Standardized protocols from the Clinical and Laboratory Standards Institute (CLSI) guide these essential evaluations.

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Area of Science:

* Laboratory medicine
* Analytical chemistry
* Clinical diagnostics

Background:

* Evaluating the precision of a laboratory method is crucial for reliable diagnostic results.
* Within-run repeatability and total within-laboratory precision are key components of method evaluation.
* A single run is insufficient for a comprehensive assessment of method precision.

Purpose of the Study:

* To outline the necessary protocols for determining and verifying the precision of analytical methods.
* To emphasize the importance of standardized procedures for method validation in clinical laboratories.
* To provide guidance on assessing manufacturer claims for method precision.

Main Methods:

* Detailed protocols from Clinical and Laboratory Standards Institute (CLSI) document EP05-A2 for determining method precision.
* Recommended testing at a minimum of two levels, in duplicate, with two runs per day over 20 days.
* User verification protocols from CLSI document EP15-A2, involving three replicates over five days for manufacturer claims.

Main Results:

* Method precision assessment necessitates evaluating both repeatability and total precision.
* CLSI EP05-A2 provides a robust framework for method precision determination.
* CLSI EP15-A2 offers a streamlined approach for users to verify manufacturer precision claims.

Conclusions:

* Comprehensive method precision evaluation requires assessing both within-run and total precision.
* Adherence to CLSI guidelines (EP05-A2 and EP15-A2) ensures standardized and reliable precision testing.
* Proper precision assessment is fundamental for maintaining the accuracy and validity of laboratory test results.