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Activity Number: 80
Type: Contributed
Date/Time: Sunday, July 31, 2016 : 4:00 PM to 5:50 PM
Sponsor: Business and Economic Statistics Section
Abstract #320555 View Presentation
Title: A Simple, Graphical Procedure for Comparing Multiple Treatment Effects
Author(s): Matthew Webb* and Brennan Scott Thompson
Companies: Carleton University and Ryerson University
Keywords: multiple comparisons ; familywise error rate ; average treatment effect ; bootstrap

In this paper, we utilize a new graphical procedure to show how multiple treatment effects can be compared while controlling the familywise error rate (the probability of finding one or more spurious differences between the parameters of interest). Monte Carlo simulations suggest that this procedure adequately controls the familywise error rate in finite samples, and has average power nearly identical to a max-$T$ procedure. We illustrate our proposed approach using four different empirical examples chosen to demonstrate the flexibility of the procedure.

Authors who are presenting talks have a * after their name.

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