Sample size requirements and length of study for testing interaction in a 2 x k factorial design when time-to-failure is the outcome [corrected].

Published

Journal Article

This paper provides equations for calculating the sample size necessary to test an interaction effect in an 2 x k factorial design when time-to-failure is the outcome of interest. The results are a direct extension of those used by George and Desu and Makuch and Simon who provide sample size requirements for comparing two and k treatment groups, respectively. Duration of a clinical trial concerned with an interaction is calculated using the results of Rubinstein, Gail, and Santner. The results in the present paper can also be used to investigate the impact that an unforeseen interaction has on the power to detect a treatment main effect. This impact can be substantial, even for moderate interactions.

Full Text

Duke Authors

Cited Authors

  • Peterson, B; George, SL

Published Date

  • December 1993

Published In

Volume / Issue

  • 14 / 6

Start / End Page

  • 511 - 522

PubMed ID

  • 8119066

Pubmed Central ID

  • 8119066

International Standard Serial Number (ISSN)

  • 0197-2456

Language

  • eng

Conference Location

  • United States