A review of the literature pertinent to interpretation of biochemistry data and quality control (QC) and proficiency testing data from 2 biochemistry analyzers was used to determine clinical quality requirements for biochemistry assays, characterize the performance of and calculate sigma metrics for the analytes run on the 2 analyzers, and perform QC validation in order to determine the needs for statistical QC for each analyzer. Quality requirements suitable for the analytes based on the needs of the authors' laboratory are presented. These requirements may or may not be appropriate for other laboratories, depending on the needs of the clients, species, and equipment performance capability. The majority of the analytes were easily controlled using the 1(3s) control rule, with a sigma metric approaching or exceeding 6 and with a high probability of error detection and a low probability of false rejection. Some analytes could not be controlled using the 1(3s) rule, and additional control rules with a greater number of control data points were required. There were differences between performances of the 2 analyzers. The findings in the present study emphasize the need for QC specific for the analyte and the clinical decision level and the need for separate QC validation on every instrument.
We thus present a simple propagation-based algorithm for general
Group (hierarchy) discovery that requires no apriori knowledge and has near
Ideal complexity. The main novelty here is that different types of groups are
Revealed through an adequate hierarchical group refinement. The proposed
Provide quantum processes in which all the observed randomness is fully
Intrinsic. These results are derived under minimal assumptions: the validity of
The no-signalling principle and an arbitrary (but not absolute) lack of freedom
Of choice. The observed randomness tends to a perfect random bit...
A list of recommendations was formulated including more general issues on the scientific methodology and statistical approach. Standards and statements are available, each depending on the type of study that is being reported: the CONSORT statement for the Randomised Controlled Trials, the TREND sta...
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