The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Abstract Details
Activity Number:
|
326
|
Type:
|
Invited
|
Date/Time:
|
Tuesday, August 2, 2011 : 10:30 AM to 12:20 PM
|
Sponsor:
|
Social Statistics Section
|
Abstract - #300016 |
Title:
|
Conventional and Principal Stratification Perspectives on Mediation
|
Author(s):
|
Booil Jo*+ and Elizabeth A. Stuart
|
Companies:
|
Stanford University and The Johns Hopkins University
|
Address:
|
Dept. of Psychiatry and Behavioral Sciences, Stanford, CA, 94305-5795, USA
|
Keywords:
|
Baron and Kenny approach ;
McArthur approach ;
Principal stratification ;
Causal inference ;
Mediation ;
Conditional ignorability
|
Abstract:
|
We will first review how mediation is understood in conventional approaches such as the Baron/Kenny and the McArthur approach. This is an important step given that these approaches are widely used in many areas of social, behavioral, and medical research. Then, we will clarify how their underlying assumptions are interpreted in contemporary causal mediation approaches such as principal stratification. Principal stratification refers to cross-classification of individuals based on potential values of posttreatment variables under all compared treatment conditions. Since the resulting strata are unaffected by treatment, treatment effects conditioning on principal strata can be interpreted as causal effects. Finally, we will focus on the conditional ignorability (i.e., conditional on pretreatment covariates, individuals with different mediator status are comparable), which is the central assumption necessary for causal interpretation in conventional mediation analyses, and is often strongly criticized. We will examine implications of this assumption from the principal stratification perspective and compare the utility of the assumption in conventional and causal mediation modeling.
|
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 2011 program
|
2011 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.