Statistical Analysis of in Vivo Tumor Growth Experiments

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Abstract

We review and compare statistical methods for the analysis of in vivo tumor growth experiments. The methods most commonly used are deficient in that they have either low power or misleading type I error rates. We propose a set of multivariate statistical modeling methods that correct these problems, illustrating their application with data from a study of the effect of α-difluoromethylornithine on growth of the BT-20 human breast tumor in nude mice. All the methods find significant differences between the a-difluoromethylornithine dose groups, but recommended sample sizes for a subsequent study are much smaller with the multivariate methods. We conclude that the multivariate methods are preferable and present guidelines for their use.

Original languageEnglish (US)
Pages (from-to)6042-6050
Number of pages9
JournalCancer Research
Volume53
Issue number24
StatePublished - Jan 1 1993

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Growth
Eflornithine
Neoplasms
Nude Mice
Sample Size
Guidelines
Breast Neoplasms

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

Cite this

Statistical Analysis of in Vivo Tumor Growth Experiments. / Heitjan, Daniel F.

In: Cancer Research, Vol. 53, No. 24, 01.01.1993, p. 6042-6050.

Research output: Contribution to journalArticle

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