Statistical Analysis of in Vivo Anticancer Experiments

Tumor Growth Inhibition

authored by

Ludwig A. Hothorn

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.

Organisation(s)

Department of Biostatistics

Type

Article

Journal

Therapeutic Innovation & Regulatory Science

Volume

40

Pages

229-238

No. of pages

10

ISSN

2168-4790

Publication date

30.12.2006

Publication status

Published

Peer reviewed

Yes

ASJC Scopus subject areas

Pharmacology, Toxicology and Pharmaceutics (miscellaneous), Public Health, Environmental and Occupational Health, Pharmacology (medical)

Sustainable Development Goals

SDG 3 - Good Health and Well-being

Electronic version(s)

https://doi.org/10.1177/009286150604000212 (Access: Closed)
https://doi.org/10.15488/3051 (Access: Open)