Medical College of Wisconsin
CTSIResearch InformaticsREDCap

Finding the maximum safe dose level for heteroscedastic data. J Biopharm Stat 2004 Nov;14(4):843-56

Date

12/14/2004

Pubmed ID

15587967

DOI

10.1081/BIP-200035413

Scopus ID

2-s2.0-9244227065 (requires institutional sign-in at Scopus site)   17 Citations

Abstract

In this article we extend to the heteroscedastic setting the multiple stepwise test procedures proposed in Tamhane et al. [Tamhane. A. C., Dunnett, C. W., Green, J. W., Wetherington, J. F. (2001). Multiple test procedures for identifying a safe dose. J. Am. Statist. Assoc. 96:835-843] for finding the maximum safe dose. Toxicological data are often heteroscedastic; therefore, the extensions given herein should be highly useful in practice. Simulations are performed to study the Type I familywise error rate and power properties of the procedures. A real data example is given to illustrate the procedures.

Author List

Tamhane AC, Logan BR

Author

Brent R. Logan PhD Director, Professor in the Data Science Institute department at Medical College of Wisconsin




MESH terms used to index this publication - Major topics in bold

Algorithms
Animals
Computer Simulation
Data Interpretation, Statistical
Dose-Response Relationship, Drug
Drug-Related Side Effects and Adverse Reactions
Monte Carlo Method
Pharmaceutical Preparations
Rats