JSM 2012 Home

JSM 2012 Online Program

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

Online Program Home

Abstract Details

Activity Number: 457
Type: Topic Contributed
Date/Time: Wednesday, August 1, 2012 : 8:30 AM to 10:20 AM
Sponsor: Social Statistics Section
Abstract - #305308
Title: Sensitivity Analysis for Multilevel Data
Author(s): Jennifer Hill*+ and Marc Scott and Nicole Carnegie
Companies: NYU Steinhardt and NYU and NYU
Address: HMSS, New York, NY, 10012, United States
Keywords: sensitivity analysis ; unobserved confounder ; omitted variable bias ; multilevel models

Strategies to assess the sensitivity of causal inferences to violations of the ignorability assumption due to failure to control for key confounders have received increasing attention over the last decade. This paper uses work by Imbens and others that model the relationship of an unobserved confounder to both the response surface and the treatment assignment mechanism as a building block and then extends the framework to accommodate grouped data structures. Among other complications these extensions will address how to best characterize the contribution of either an individual or group-level covariate to both linear and non-linear multilevel 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 2012 program

2012 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.