James C Boyd

发表

Monte Carlo simulation in establishing analytical quality requirements for clinical laboratory tests meeting clinical needs.

David E Bruns, James C Boyd, D. Bruns, 2009, Methods in enzymology.

Glucose meter performance criteria for tight glycemic control estimated by simulation modeling.

George G Klee, James C Boyd, G. Klee, 2010, Clinical chemistry.

Defining laboratory reference values and decision limits: populations, intervals, and interpretations.

James C Boyd, J. Boyd, 2010, Asian journal of andrology.

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

George G Klee, James C Boyd, G. Klee, 2013, Diabetes technology & therapeutics.

Partitioning of nongaussian-distributed biochemical reference data into subgroups.

Petter Laake, Per Hyltoft Petersen, P. H. Petersen, 2004, Clinical chemistry.

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

David B Sacks, David E Bruns, James C Boyd, 2009, Clinical chemistry.

Objective criteria for partitioning Gaussian-distributed reference values into subgroups.

Callum G Fraser, Per Hyltoft Petersen, James C Boyd, 2002, Clinical chemistry.

Performance requirements for glucose assays in intensive care units.

David E Bruns, James C Boyd, D. Bruns, 2014, Clinical chemistry.

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

David E Bruns, Alicia Algeciras-Schimnich, James C Boyd, 2013, Clinical chemistry.

Use of protein:creatinine ratio measurements on random urine samples for prediction of significant proteinuria: a systematic review.

Christopher P Price, James C Boyd, C. Price, 2005, Clinical chemistry.