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Journal ArticleDOI

Power functions for statistical control rules.

J O Westgard, +1 more
- 01 Jun 1979 - 
- Vol. 25, Iss: 6, pp 863-869
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TLDR
These power functions show the relationship between the probability for rejection and the size of the analytical errors that are to be detected show some assessment of the quality available from present statistical control systems and provide some guidance in the selection of control rules and numbers of control observations when new control systems are designed.
Abstract
We have studied power functions for several control rules by use of a computer simulation program. These power functions show the relationship between the probability for rejection and the size of the analytical errors that are to be detected. They allow some assessment of the quality available from present statistical control systems and provide some guidance in the selection of control rules and numbers of control observations when new control systems are designed.

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Journal ArticleDOI

Internal quality control: planning and implementation strategies

TL;DR: A general strategy for IQC implementation is recommended that employs a three-stage design in which the first stage provides high error detection, the second stage low false rejection and the third stage prescribes the length of the analytical run, making use of an algorithm involving the average of normal patients' data.
Journal ArticleDOI

Statistical Process Control using Shewhart Control Charts with Supplementary Runs Rules

TL;DR: In this paper, the authors present the basic principles and recent advances in the area of statistical process control charting with the aid of runs rules, and briefly discuss the Markov chain approach which is the most popular technique for studying the run length distribution of run based control charts.

Proposed guidelines for the internal quality control of analytical results in the medical laboratory.

TL;DR: In this article, a number of guidelines for statistical control rules and problem related internal quality control are presented and evaluated in relation to probability of false rejections, Pfr and probability of error detection, Ped, for the different rules.

Desirable routine analytical goals for quantities assayed in serum : discussion paper from the members of the External Quality Assessment (EQA) Working Group A on analytical goals in laboratory medicine

TL;DR: The aim of the Working Group was to describe guidelines for deriving desirable analytical goals in laboratory medicine, and it is recommended that, most realistically, analytical quality specifications be biologically based.
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