Details
Original language | English |
---|---|
Pages (from-to) | 323-330 |
Number of pages | 8 |
Journal | BIOLOGICALS |
Volume | 37 |
Issue number | 5 |
Early online date | 31 Jul 2009 |
Publication status | Published - Oct 2009 |
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.
Keywords
- Bioassay, Non-parametric control charts, Phase II control charts, Statistical quality control
ASJC Scopus subject areas
- Biochemistry, Genetics and Molecular Biology(all)
- Biotechnology
- Chemical Engineering(all)
- Bioengineering
- Immunology and Microbiology(all)
- Applied Microbiology and Biotechnology
- Immunology and Microbiology(all)
- General Immunology and Microbiology
- Pharmacology, Toxicology and Pharmaceutics(all)
- Pharmacology
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In: BIOLOGICALS, Vol. 37, No. 5, 10.2009, p. 323-330.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Parametric and non-parametric prediction intervals based phase II control charts for repeated bioassay data
AU - Hothorn, L. A.
AU - Gerhard, D.
AU - Hofmann, M.
PY - 2009/10
Y1 - 2009/10
N2 - 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.
AB - 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.
KW - Bioassay
KW - Non-parametric control charts
KW - Phase II control charts
KW - Statistical quality control
UR - http://www.scopus.com/inward/record.url?scp=69649103730&partnerID=8YFLogxK
U2 - 10.1016/j.biologicals.2009.07.001
DO - 10.1016/j.biologicals.2009.07.001
M3 - Article
C2 - 19647449
AN - SCOPUS:69649103730
VL - 37
SP - 323
EP - 330
JO - BIOLOGICALS
JF - BIOLOGICALS
SN - 1045-1056
IS - 5
ER -