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Literature DB >> 4816793

A study of various estimators for the derivation of quality control procedures from patient erythrocyte indices.

B S Bull, R M Elashoff, D C Heilbron, J Couperus.

Abstract

Entities: Species

Mesh：

Year: 1974 PMID： 4816793 DOI： 10.1093/ajcp/61.4.473

Source DB: PubMed Journal: Am J Clin Pathol ISSN： 0002-9173 Impact factor: 2.493

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11 in total

1. Quality control in haematology.

Authors: S M Lewis
Journal: Proc R Soc Med Date: 1975-10

2. Ischaemic heart disease: association with haematocrit in the British Regional Heart Study.

Authors: G Wannamethee; A G Shaper; P H Whincup
Journal: J Epidemiol Community Health Date: 1994-04 Impact factor: 3.710

3. Rationale for using insensitive quality control rules for today's hematology analyzers.

Authors: George S Cembrowski; B Smith; D Tung
Journal: Int J Lab Hematol Date: 2010-12 Impact factor: 2.877

4. Moving Rate of Positive Patient Results as a Quality Control Tool for High-Sensitivity Cardiac Troponin T Assays.

Authors: Tingting Li; Shunwang Cao; Yi Wang; Yujuan Xiong; Yuting He; Peifeng Ke; Xianzhang Huang
Journal: Ann Lab Med Date: 2020-08-25 Impact factor: 3.464

5. Optimization and validation of patient-based real-time quality control procedure using moving average and average of normals with multi-rules for TT3, TT4, FT3, FT3, and TSH on three analyzers.

Authors: Chao Song; Jun Zhou; Jun Xia; Deli Ye; Qian Chen; Weixing Li
Journal: J Clin Lab Anal Date: 2020-05-03 Impact factor: 2.352

6. Intelligent Quality Management 2 with IntraSpect™ technology for quality control of GEM® Premier™ 5000 blood gas analyzers- A novel application of the patient sample as its own control.

Authors: James O Westgard; Jose Cervera
Journal: Pract Lab Med Date: 2022-04-08

A study of various estimators for the derivation of quality control procedures from patient erythrocyte indices.

1. Quality control in haematology.

2. Ischaemic heart disease: association with haematocrit in the British Regional Heart Study.

3. Rationale for using insensitive quality control rules for today's hematology analyzers.

4. Moving Rate of Positive Patient Results as a Quality Control Tool for High-Sensitivity Cardiac Troponin T Assays.

5. Optimization and validation of patient-based real-time quality control procedure using moving average and average of normals with multi-rules for TT3, TT4, FT3, FT3, and TSH on three analyzers.

6. Intelligent Quality Management 2 with IntraSpect™ technology for quality control of GEM® Premier™ 5000 blood gas analyzers- A novel application of the patient sample as its own control.

7. Assessment of patient based real-time quality control on comparative assays for common clinical analytes.

8. Mean platelet size related to glycoprotein-specific autoantibodies and platelet-associated IgG.

9. Optimizing moving average control procedures for small-volume laboratories: can it be done?

10. Failure of internal quality control in detecting significant reagent lot shift in serum creatinine measurement.