title: Parametric and non-parametric prediction intervals based phase II control charts for repeated bioassay data.
abstract: Quality control for repeated bioassay runs can be performed by phase II control charts, well-known from industrial quality control. The value of interest is the potency, of which a single value per run is available. Parametric and non-parametric prediction intervals are described to estimate quality control intervals for future re-test runs. Violations against the normal distribution occur in real data frequently, particularly outliers. The non-parametric prediction intervals are limited to not too small sample sizes in both the historical and future sampling phases. Therefore, robust prediction intervals based on winsorization are proposed. R-functions for all prediction intervals are provided.
authors: Leibniz University Hannover, Institute of Biostatistics, Herrenhauser Str.2, D-30419 Hannover, Germany. hothorn@biostat.uni-hannover.de
authors: L A
authors: LA
authors: Hothorn
authors: D
authors: D
authors: Gerhard
authors: M
authors: M
authors: Hofmann
mesh_terms: D001681:Biological Assay / Q000379:methods / Q000592:standards* / Q000706:statistics & numerical data*; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D004305:Dose-Response Relationship, Drug; D004353:Drug Evaluation, Preclinical / Q000592:standards / Q000706:statistics & numerical data; D005544:Forecasting / Q000379:methods*; D008962:Models, Theoretical; D011336:Probability; D011786:Quality Control; D012015:Reference Standards; D012985:Software Design; D054928:Validation Studies as Topic