Details
Originalsprache | Englisch |
---|---|
Seiten (von - bis) | 229-238 |
Seitenumfang | 10 |
Fachzeitschrift | Therapeutic Innovation & Regulatory Science |
Jahrgang | 40 |
Ausgabenummer | 2 |
Publikationsstatus | Veröffentlicht - 30 Dez. 2006 |
Abstract
Tumor growth inhibition data in in vivo anticancer experiments are commonly analyzed using the treatment-to-control ratio (TCR). Parametric and nonparametric confidence interval approaches for this ratio are introduced, enabling a quantitative statistical decision. The growth curves are characterized by the area-under-the-curve technique, adjusted for animal-specific survival. Simple simultaneous approaches are proposed for complex designs, including several treatment or dose groups. This implementation makes decision making easier for the pharmacologists through the use of simple diagrams for the treatment-to-control ratios and their confidence intervals. Tumor inhibition and regression can be appropriately statistically analyzed by treatment-to-control ratios and their confidence intervals.
ASJC Scopus Sachgebiete
- Pharmakologie, Toxikologie und Pharmazie (insg.)
- Pharmakologie, Toxikologie und Pharmazie (sonstige)
- Medizin (insg.)
- Öffentliche Gesundheit, Umwelt- und Arbeitsmedizin
- Medizin (insg.)
- Pharmakologie (medizinische)
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in: Therapeutic Innovation & Regulatory Science, Jahrgang 40, Nr. 2, 30.12.2006, S. 229-238.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Statistical Analysis of in Vivo Anticancer Experiments
T2 - Tumor Growth Inhibition
AU - Hothorn, Ludwig A.
PY - 2006/12/30
Y1 - 2006/12/30
N2 - Tumor growth inhibition data in in vivo anticancer experiments are commonly analyzed using the treatment-to-control ratio (TCR). Parametric and nonparametric confidence interval approaches for this ratio are introduced, enabling a quantitative statistical decision. The growth curves are characterized by the area-under-the-curve technique, adjusted for animal-specific survival. Simple simultaneous approaches are proposed for complex designs, including several treatment or dose groups. This implementation makes decision making easier for the pharmacologists through the use of simple diagrams for the treatment-to-control ratios and their confidence intervals. Tumor inhibition and regression can be appropriately statistically analyzed by treatment-to-control ratios and their confidence intervals.
AB - Tumor growth inhibition data in in vivo anticancer experiments are commonly analyzed using the treatment-to-control ratio (TCR). Parametric and nonparametric confidence interval approaches for this ratio are introduced, enabling a quantitative statistical decision. The growth curves are characterized by the area-under-the-curve technique, adjusted for animal-specific survival. Simple simultaneous approaches are proposed for complex designs, including several treatment or dose groups. This implementation makes decision making easier for the pharmacologists through the use of simple diagrams for the treatment-to-control ratios and their confidence intervals. Tumor inhibition and regression can be appropriately statistically analyzed by treatment-to-control ratios and their confidence intervals.
KW - Confidence intervals
KW - Treatment-to-control ratio
KW - Tumor inhibition
UR - http://www.scopus.com/inward/record.url?scp=84996180413&partnerID=8YFLogxK
U2 - 10.1177/009286150604000212
DO - 10.1177/009286150604000212
M3 - Article
AN - SCOPUS:84996180413
VL - 40
SP - 229
EP - 238
JO - Therapeutic Innovation & Regulatory Science
JF - Therapeutic Innovation & Regulatory Science
SN - 2168-4790
IS - 2
ER -