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An appraisal of statistical procedures used in derivation of reference intervals

Clinical chemistry and laboratory medicine, 2010-11, Vol.48 (11), p.1537-1551

2010

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Data Mining Approaches to Reference Interval Studies

Clinical chemistry, 2021-09, Vol.67 (9), p.1175-1181

2021

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Tight glucose control in the intensive care unit: are glucose meters up to the task?

Clinical chemistry (Baltimore, Md.), 2009-01, Vol.55 (1), p.18-20

2009

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Use of Protein:Creatinine Ratio Measurements on Random Urine Samples for Prediction of Significant Proteinuria: A Systematic Review

Clinical chemistry (Baltimore, Md.), 2005-09, Vol.51 (9), p.1577-1586

2005

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Defining laboratory reference values and decision limits＇ populations, intervals, and interpretations

Asian journal of andrology, 2010, Vol.12 (1), p.83-90

Boyd, James C

2010

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A Curiosity in the Heavens: The North American Nebula (NGC 7000)

Clinical chemistry (Baltimore, Md.), 2022-04, Vol.68 (4), p.611-612

Boyd, James C

2022

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State of Harmonization of 24 Serum Albumin Measurement Procedures and Implications for Medical Decisions

Clinical chemistry (Baltimore, Md.), 2017-03, Vol.63 (3), p.770-779

2017

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Effects of measurement frequency on analytical quality required for glucose measurements in intensive care units: assessments by simulation models

Clinical chemistry (Baltimore, Md.), 2014-04, Vol.60 (4), p.644-650

2014

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Hepatocyte Cytokeratin 7 Expression in Chronic Allograft Rejection

American journal of clinical pathology, 2011-02, Vol.135 (2), p.238-244

2011

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Glucose Meter Performance Criteria for Tight Glycemic Control Estimated by Simulation Modeling

Clinical chemistry (Baltimore, Md.), 2010-07, Vol.56 (7), p.1091-1097

2010

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Clinical Chemistry Views and Policy on Preprints

Clinical chemistry (Baltimore, Md.), 2018-07, Vol.64 (7), p.989-990

2018

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Reference Intervals for Serum Creatinine Concentrations: Assessment of Available Data for Global Application

Clinical chemistry (Baltimore, Md.), 2008-03, Vol.54 (3), p.559-566

2008

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Failure of current laboratory protocols to detect lot-to-lot reagent differences: findings and possible solutions

Clinical chemistry (Baltimore, Md.), 2013-08, Vol.59 (8), p.1187-1194

2013

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Liszt Missa Choralis Performed by the Oratorio Society of Virginia

Clinical chemistry (Baltimore, Md.), 2013-08, Vol.59 (8), p.1286-1286

Boyd, James C

2013

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The Impact of Measurement Frequency on the Domains of Glycemic Control in the Critically Ill-A Monte Carlo Simulation

Journal of diabetes science and technology, 2015-03, Vol.9 (2), p.237-245

2015

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Common reference intervals for aspartate aminotransferase (AST), alanine aminotransferase (ALT) and γ-glutamyl transferase (GGT) in serum: results from an IFCC multicenter study

Clinical chemistry and laboratory medicine, 2010-11, Vol.48 (11), p.1593-1601

2010

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Performance requirements for glucose assays in intensive care units

Clinical chemistry (Baltimore, Md.), 2014-12, Vol.60 (12), p.1463-1465

2014

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Loss of heterozygosity at 13q14 and 13q21 in high grade, high stage prostate cancer

The Prostate, 2001-11, Vol.49 (3), p.166-171

2001

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Statistical methods for test and biomarker evaluation studies: a clinical chemistry series

Clinical chemistry (Baltimore, Md.), 2012-09, Vol.58 (9), p.1273-1274

2012

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Fifteen-minute Frequency of Glucose Measurements and the Use of Threshold Alarms: Impact on Mitigating Dysglycemia in Critically Ill Patients

Journal of diabetes science and technology, 2021-03, Vol.15 (2), p.279-286

2021

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Cautions in the adoption of common reference intervals

Clinical chemistry (Baltimore, Md.), 2008-02, Vol.54 (2), p.238-239

Boyd, James C

2008

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To P or not to P: that is the question

Clinical chemistry (Baltimore, Md.), 2014-07, Vol.60 (7), p.909-910

2014

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The P value: probable does not mean practical

Clinical chemistry (Baltimore, Md.), 2014-07, Vol.60 (7), p.1021-1023

2014

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Empiric validation of simulation models for estimating glucose meter performance criteria for moderate levels of glycemic control

Diabetes technology & therapeutics, 2013-12, Vol.15 (12), p.996

2013

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Few point-of-care hemoglobin [A.sub.1c] assay methods meet clinical needs

Clinical chemistry (Baltimore, Md.), 2010-01, Vol.56 (1), p.4

2010

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An appraisal of statistical procedures used in derivation of reference intervals

Data Mining Approaches to Reference Interval Studies

Tight glucose control in the intensive care unit: are glucose meters up to the task?

Use of Protein:Creatinine Ratio Measurements on Random Urine Samples for Prediction of Significant Proteinuria: A Systematic Review

Defining laboratory reference values and decision limits＇ populations, intervals, and interpretations

A Curiosity in the Heavens: The North American Nebula (NGC 7000)

State of Harmonization of 24 Serum Albumin Measurement Procedures and Implications for Medical Decisions

Effects of measurement frequency on analytical quality required for glucose measurements in intensive care units: assessments by simulation models

Hepatocyte Cytokeratin 7 Expression in Chronic Allograft Rejection

Glucose Meter Performance Criteria for Tight Glycemic Control Estimated by Simulation Modeling

Clinical Chemistry Views and Policy on Preprints

Reference Intervals for Serum Creatinine Concentrations: Assessment of Available Data for Global Application

Failure of current laboratory protocols to detect lot-to-lot reagent differences: findings and possible solutions

Liszt Missa Choralis Performed by the Oratorio Society of Virginia

The Impact of Measurement Frequency on the Domains of Glycemic Control in the Critically Ill-A Monte Carlo Simulation

Common reference intervals for aspartate aminotransferase (AST), alanine aminotransferase (ALT) and γ-glutamyl transferase (GGT) in serum: results from an IFCC multicenter study

Performance requirements for glucose assays in intensive care units

Loss of heterozygosity at 13q14 and 13q21 in high grade, high stage prostate cancer

Statistical methods for test and biomarker evaluation studies: a clinical chemistry series

Fifteen-minute Frequency of Glucose Measurements and the Use of Threshold Alarms: Impact on Mitigating Dysglycemia in Critically Ill Patients

Cautions in the adoption of common reference intervals

To P or not to P: that is the question

The P value: probable does not mean practical

Empiric validation of simulation models for estimating glucose meter performance criteria for moderate levels of glycemic control

Few point-of-care hemoglobin [A.sub.1c] assay methods meet clinical needs

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