Probability & Statistics Day 2012 Group Photo
PROBABILITY & STATISTICS DAY
Funded By: National Security Agency | Hosted By: Center for Interdisciplinary Research and Consulting
Group Photo from the 6th Annual Probability & Statistics Day at UMBC 2012
7th Annual April 26-27, 2013

Register A special feature of Probability and Statistics Day at UMBC 2013 is that the conference, including the workshop, is open to all statistics graduate students from UMBC and local universites free of charge; however, REGISTRATION IS REQUIRED! The deadline to register is Friday, April 12, 2013.   // REGISTER NOW

For more information, contact any member of the organizing committee:

Bimal Sinha
Conference Chair
443.538.3012

Kofi Adragni
  410.455.2406
Yvonne Huang
  410.455.2422
Yaakov Malinovsky
  410.455.2968
Thomas Mathew
  410.455.2418
Nagaraj Neerchal
  410.455.2437
DoHwan Park
  410.455.2408
Junyong Park
  410.455.2407
Anindya Roy
  410.455.2435
Elizabeth Stanwyck
  410.455.5731

Sponsor

Participant Information

Anna Sun

Poster: SAMPLE SIZE DETERMINATION FOR BIOEQUIVALENCE TRIAL ADJUSTED FOR MULTIPLE COMPARISONS

A bioequivalence trial is designed to assess the average equivalence of the test and reference treatments. Typically, the equivalence test applies to two to three responses determined by the absorption. The responses typically include area under the curve (AUC), maximum concentration (Cmax) and sometime including time to maximum concentration (Tmax). The equivalence test is typically in the form of two one-sided tests or of intersection-union test. This type of tests is of nature of multiple comparisons. There are quite a few proposals on sample size determination for two one-sided tests applicable to test for each parameter. Furthermore, because bioequivalence requires rejecting all three null hypotheses in terms of the three parameters, it involves further complication of the multiple comparisons. These two-levels of multiple comparisons lead to the difficulties in power computation and sample size determination for the desired overall power. In this project, we compare the exact and approximate approaches of sample size determination through simulation study and propose alternative approaches for sample size determination controlling trial wise power adjusted for multiple comparisons.