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Earle W Holmes

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Clinica Chimica Acta; International Journal of Clinical Chemistry|September 20, 2011
Non-linear analytical recovery in the DiaSorin Liaison immunoassay for 25-hydroxy vitamin DEarle W Holmes, Jean Garbincius, Kathleen M McKenna
American Journal of Clinical Pathology|September 19, 2013
Analytical variability among methods for the measurement of 25-hydroxyvitamin D: still adding to the noiseEarle W Holmes, Jean Garbincius, Kathleen M McKenna
Archives of Pathology & Laboratory Medicine|October 27, 2017
Biotin Interference in Clinical Immunoassays: A Cause for ConcernEarle W Holmes, Shanika Samarasinghe, Mary Ann Emanuele, et al.
Clinical Biochemistry|August 22, 2017
An interactive website for analytical method comparison and bias estimationBurak Bahar, Ayse F Tuncel, Earle W Holmes, et al.
Archives of Pathology & Laboratory Medicine|December 8, 2006
Determination of ultrafilterable prolactin: elimination of macroprolactin interference with a monomeric prolactin-selective sample pretreatmentAdam M Quinn, Tara C Rubinas, C Jean Garbincius, et al.
Journal of Chromatography. B, Analytical Technologies in the Biomedical and Life Sciences|December 31, 2002
Gas chromatographic method for detection of urinary sucralose: application to the assessment of intestinal permeabilityAshkan Farhadi, Ali Keshavarzian, Earle W Holmes, et al.
Endocrine Practice : Official Journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists|May 24, 2017
BIOTIN INTERFERENCE WITH ROUTINE CLINICAL IMMUNOASSAYS: UNDERSTAND THE CAUSES AND MITIGATE THE RISKSShanika Samarasinghe, Farah Meah, Vinita Singh, et al.
American Journal of Clinical Pathology|March 18, 2008
Analytic bias among certified methods for the measurement of hemoglobin A1c: a cause for concern?Earle W Holmes, Cağatay Erşahin, Geri J Augustine, et al.
The Prostate|August 9, 2007
Identification of patients with low-risk for aneuploidy: comparative discriminatory models using linear and machine-learning classifiers in prostate cancerGirish Venkataraman, Georg Heinze, Earle W Holmes, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Clinica Chimica Acta; International Journal of Clinical Chemistry|September 20, 2011
Non-linear analytical recovery in the DiaSorin Liaison immunoassay for 25-hydroxy vitamin DEarle W Holmes, Jean Garbincius, Kathleen M McKenna
American Journal of Clinical Pathology|September 19, 2013
Analytical variability among methods for the measurement of 25-hydroxyvitamin D: still adding to the noiseEarle W Holmes, Jean Garbincius, Kathleen M McKenna
Archives of Pathology & Laboratory Medicine|October 27, 2017
Biotin Interference in Clinical Immunoassays: A Cause for ConcernEarle W Holmes, Shanika Samarasinghe, Mary Ann Emanuele, et al.
Clinical Biochemistry|August 22, 2017
An interactive website for analytical method comparison and bias estimationBurak Bahar, Ayse F Tuncel, Earle W Holmes, et al.
Archives of Pathology & Laboratory Medicine|December 8, 2006
Determination of ultrafilterable prolactin: elimination of macroprolactin interference with a monomeric prolactin-selective sample pretreatmentAdam M Quinn, Tara C Rubinas, C Jean Garbincius, et al.
Journal of Chromatography. B, Analytical Technologies in the Biomedical and Life Sciences|December 31, 2002
Gas chromatographic method for detection of urinary sucralose: application to the assessment of intestinal permeabilityAshkan Farhadi, Ali Keshavarzian, Earle W Holmes, et al.
Endocrine Practice : Official Journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists|May 24, 2017
BIOTIN INTERFERENCE WITH ROUTINE CLINICAL IMMUNOASSAYS: UNDERSTAND THE CAUSES AND MITIGATE THE RISKSShanika Samarasinghe, Farah Meah, Vinita Singh, et al.
American Journal of Clinical Pathology|March 18, 2008
Analytic bias among certified methods for the measurement of hemoglobin A1c: a cause for concern?Earle W Holmes, Cağatay Erşahin, Geri J Augustine, et al.
The Prostate|August 9, 2007
Identification of patients with low-risk for aneuploidy: comparative discriminatory models using linear and machine-learning classifiers in prostate cancerGirish Venkataraman, Georg Heinze, Earle W Holmes, et al.
Pageof 1