Abstract #301080

The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.

Back to main JSM 2002 Program page
JSM 2002 Abstract #301080
Activity Number: 92
Type: Topic Contributed
Date/Time: Monday, August 12, 2002 : 10:30 AM to 12:20 PM
Sponsor: Biopharmaceutical Section*
Abstract - #301080
Title: A Note on ANOVA Assumptions and Robust Analysis for a Crossover Study
Author(s): Xun Chen*+
Affiliation(s): Merck Research Laboratories
Address: RY34-A304, Rahway, New Jersey, 07065, usa
Keywords: Crossover ; Robust
Abstract:

Analysis of variance (ANOVA) methods are usually applied to analyze continuous data from crossover studies. The analysis, however, may not have appropriate type I error when certain assumptions are violated. In this paper, we first clarify a conventionally minimum set of assumptions that validate the F-tests of ANOVA models for crossover studies. We then provide a practical verification/remedy procedure based upon the theoretical developments. By applying the verification/remedy procedure, more robust analysis results can be expected from the ANOVA models.

  • The address information is for the authors that have a + after their name.
  • Authors who are presenting talks have a * after their name.

Back to the full JSM 2002 program

JSM 2002

For information, contact meetings@amstat.org or phone (703) 684-1221.

If you have questions about the Continuing Education program, please contact the Education Department.

Revised March 2002