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Journal of Clinical Pathology|June 13, 2014
Application of smoothed continuous labile haemoglobin A1c reference intervals for identification of potentially spurious HbA1c resultsTze Ping Loh, Weng Kung Peng, Lan Chen, et al.
Clinica Chimica Acta; International Journal of Clinical Chemistry|January 27, 2025
Number of patient samples affected before error detection: Strategic implications for internal quality control and patient-based quality control practicesHui Qi Low, Corey Markus, Tze Ping Loh, et al.
Annals of Laboratory Medicine|October 23, 2023
The Use of Bone-Turnover Markers in Asia-Pacific PopulationsSamuel Vasikaran, Subashini C Thambiah, Rui Zhen Tan, et al.
American Journal of Clinical Pathology|February 24, 2018
Derivation of Outcome-Based Pediatric Critical ValuesHao Du, Corey Markus, Michael Metz, et al.
Clinical Chemistry and Laboratory Medicine|November 13, 2021
Methods to reduce lipemic interference in clinical chemistry tests: a systematic review and recommendationsSheila X Soh, Tze Ping Loh, Sunil K Sethi, et al.
Annals of Laboratory Medicine|April 26, 2022
An Objective Approach to Deriving the Clinical Performance of Autoverification LimitsTze Ping Loh, Rui Zhen Tan, Chun Yee Lim, et al.
Endocrine Practice : Official Journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists|March 20, 2014
Spuriously elevated free thyroxine associated with autoantibodies, a result of laboratory methodology: case report and literature reviewTze Ping Loh, Sai Mun Leong, Kah Yin Loke, et al.
Clinica Chimica Acta; International Journal of Clinical Chemistry|July 10, 2022
Lot-to-lot reagent verification: Effect of sample size and replicate measurement on linear regression approachesNorman Wen Xuan Koh, Corey Markus, Tze Ping Loh, et al.
Clinical Chemistry and Laboratory Medicine|May 16, 2022
Comparison of six regression-based lot-to-lot verification approachesNorman Wen Xuan Koh, Corey Markus, Tze Ping Loh, et al.
Pathology|October 15, 2019
Detecting reagent lot shifts using proficiency testing dataRui Zhen Tan, Wilson Punyalack, Peter Graham, et al.
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