This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 612
Type: Topic Contributed
Date/Time: Thursday, August 5, 2010 : 8:30 AM to 10:20 AM
Sponsor: Social Statistics Section
Abstract - #308712
Title: Comparison of Hauer's EB method, Causal Inference Methods, and a Full Bayesian Method for Estimating Countermeasure Effectiveness in Transportation Safety Studies
Author(s): Courtney Bokenkroger*+
Companies: Midwest Research Institute
Address: 425 Volker Blvd, Kansas City , MO, 64110,
Keywords: transportation safety ; EB ; Full Bayes ; causal inference ; simulation
Abstract:

In the past three decades, transportation safety research methods have evolved to the standard use of the EB method developed by Hauer and colleagues for the evaluation of countermeasure effectiveness. The Rubin Causal Model also provides an appropriate structure for evaluating safety studies and the estimators can be based on a similar structure to the data model used in the EB method. Following the path initiated by Davis (1999), we compare the EB method with estimators based on Rubin's causal model, as well as a fully Bayesian estimation method for simulated observations generated under various data-generating mechanisms. This evaluation highlights the consistency and efficiencies of the various approaches.


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 2010 program




2010 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

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