A STATEWIDE Internal quality control procedure for general chemistry: AN UPDATE

Pathology ◽  
2017 ◽  
Vol 49 ◽  
pp. S96-S97
Author(s):  
Gemma M. Daley ◽  
Karen Noy ◽  
Mary Hardwick ◽  
David Clarke ◽  
Nigel Brown
Keyword(s):  
Quality Control ◽  
General Chemistry ◽  
Internal Quality Control ◽  
Internal Quality ◽  
Control Procedure ◽  
Quality Control Procedure

Design of internal quality control for reference value studies

2004 ◽  
Vol 42 (7) ◽  
Author(s):  
James O. Westgard
Keyword(s):  
Quality Control ◽  
Systematic Error ◽  
Total Error ◽  
Reference Value ◽  
Internal Quality Control ◽  
Internal Quality ◽  
Control Procedure ◽  
Graphical Tool ◽  
Critical Error ◽  
Power Curves

AbstractInternal quality control should assure that the desired quality goals are achieved during reference value studies. Quality goals are often stated in the form of allowable limits of error, such as an allowable total error or an allowable bias. For reference value studies, it may be more appropriate to utilize a goal for allowable bias. In either case, it is possible to calculate a metric in the form of the critical systematic error that can be used to guide selection or design of the internal quality control procedure. A graphical tool, called the critical-error graph, facilitates the selection by superimposing the calculated critical systematic error on the power curves of different control rules and numbers of control measurements. Examples are provided to illustrate the calculation of the critical systematic error from both an allowable total error goal and an allowable bias goal, using figures from an extensive tabulation of available total error and bias goals.

scholarly journals Internal quality control status for BNP and NT-proBNP in China from 2014 to 2017

2018 ◽  
Vol 33 (1) ◽  
pp. e22643 ◽  
Author(s):  
Huizhen Sun ◽  
Wei Wang ◽  
Haijian Zhao ◽  
Chuanbao Zhang ◽  
Falin He ◽  
...  
Keyword(s):  
Quality Control ◽  
Internal Quality Control ◽  
Internal Quality

scholarly journals Expanding HadISD: quality-controlled, sub-daily station data from 1931

2016 ◽  
Author(s):  
Robert J. H. Dunn ◽  
Kate M. Willett ◽  
David E. Parker ◽  
Lorna Mitchell
Keyword(s):  
Quality Control ◽  
Wind Speed ◽  
Time Range ◽  
Underlying Structure ◽  
Control Procedure ◽  
Future Projections ◽  
Quality Control Procedure ◽  
Temporal Coverage ◽  
Extremes Of Temperature ◽  
Selection Of

Abstract. HadISD is a sub-daily, station-based, quality-controlled dataset designed to study past extremes of temperature, pressure and humidity and allow comparisons to future projections. Herein we describe the first major update to the HadISD dataset. The temporal coverage of the dataset has been extended to 1931 to present, doubling the time range over which data are provided. Improvements made to the station selection and merging procedures result in 7677 stations being provided in version 2.0.0.2015p of this dataset. The selection of stations to merge together making composites has also been improved and made more robust. The underlying structure of the quality control procedure is the same as for HadISD.1.0.x, but a number of improvements have been implemented in individual tests. Also, more detailed quality control tests for wind speed and direction have been added. The data will be made available as netCDF files at www.metoffice.gov.uk/hadobs/hadisd and updated annually.

scholarly journals Migration from NetWISP to Nutritics – a quality control procedure

2018 ◽  
Vol 77 (OCE3) ◽  
Author(s):  
S. Cassidy ◽  
B. Phillips ◽  
J. Caldeira Fernandes da Silva ◽  
A. Parle
Keyword(s):  
Quality Control ◽  
Control Procedure ◽  
Quality Control Procedure
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