Statistical inference for tumor growth inhibition T/C ratio

Jianrong Wu

Research output: Contribution to journalArticlepeer-review

32 Scopus citations

Abstract

The tumor growth inhibition T/C ratio is commonly used to quantify treatment effects in drug screening tumor xenograft experiments. The T/C ratio is converted to an antitumor activity rating using an arbitrary cutoff point and often without any formal statistical inference. Here, we applied a nonparametric bootstrap method and a small sample likelihood ratio statistic to make a statistical inference of the T/C ratio, including both hypothesis testing and a confidence interval estimate. Furthermore, sample size and power are also discussed for statistical design of tumor xenograft experiments. Tumor xenograft data from an actual experiment were analyzed to illustrate the application.

Original languageEnglish
Pages (from-to)954-964
Number of pages11
JournalJournal of Biopharmaceutical Statistics
Volume20
Issue number5
DOIs
StatePublished - Sep 2010

Bibliographical note

Funding Information:
The author is thankful to the associate editor and anonymous referees whose careful reading and constructive comments improved this article. This work was supported in part by National Cancer Institute (NCI) support grant CA21765, NO1-CM-42216, and the American Lebanese Syrian Associated Charities (ALSAC).

Keywords

  • Bootstrap
  • Confidence interval
  • Hypothesis
  • Likelihood ratio
  • Log-normal
  • Sample size
  • Tumor growth inhibition
  • Xenografts

ASJC Scopus subject areas

  • Statistics and Probability
  • Pharmacology
  • Pharmacology (medical)

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