Statistical inference for the within-device precision of quantitative measurements in assay validation.
Intermediate precision is one of the most important characteristics for evaluation of precision in assay validation. The current methods for evaluation of within-device precision recommended by the Clinical Laboratory Standard Institute (CLSI) guideline EP5-A2 are based on the point estimator. On the other hand, in addition to point estimators, confidence intervals can provide a range for the within-device precision with a probability statement. Therefore, we suggest a confidence interval approach for assessment of the within-device precision. Furthermore, under the two-stage nested random-effects model recommended by the approved CLSI guideline EP5-A2, in addition to the current Satterthwaite's approximation and the modified large sample (MLS) methods, we apply the technique of generalized pivotal quantities (GPQ) to derive the confidence interval for the within-device precision. The data from the approved CLSI guideline EP5-A2 illustrate the applications of the confidence interval approach and comparison of results between the three methods. Results of a simulation study on the coverage probability and expected length of the three methods are reported. The proposed method of the GPQ-based confidence intervals is also extended to consider the between-laboratories variation for precision assessment.
Liu
Jen-Pei
JP
Division of Biometry, Department of Agronomy, National Taiwan University, Taipei, Taiwan. jpliu@ntu.edu.tw
Lu
Li-Tien
LT
Liao
C T
CT
D000818:Animals; D001681:Biological Assay / Q000706:statistics & numerical data*; D001786:Blood Glucose / Q000032:analysis; D016009:Chi-Square Distribution; D003198:Computer Simulation; D016001:Confidence Intervals; D003627:Data Interpretation, Statistical; D006801:Humans; D015233:Models, Statistical; D009010:Monte Carlo Method; D015588:Observer Variation; D011336:Probability; D015203:Reproducibility of Results
D001786:Blood Glucose