Details
| Original language | English |
|---|---|
| Pages (from-to) | 229-238 |
| Number of pages | 10 |
| Journal | Therapeutic Innovation & Regulatory Science |
| Volume | 40 |
| Issue number | 2 |
| Publication status | Published - 30 Dec 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.
Keywords
- Confidence intervals, Treatment-to-control ratio, Tumor inhibition
ASJC Scopus subject areas
- Pharmacology, Toxicology and Pharmaceutics(all)
- Pharmacology, Toxicology and Pharmaceutics (miscellaneous)
- Medicine(all)
- Public Health, Environmental and Occupational Health
- Medicine(all)
- Pharmacology (medical)
Sustainable Development Goals
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In: Therapeutic Innovation & Regulatory Science, Vol. 40, No. 2, 30.12.2006, p. 229-238.
Research output: Contribution to journal › Article › Research › 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 -