JSM 2005 Online Program

Abstract #302609

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

To View the Program:
You may choose to view all activities of the program or just parts of it at any one time. All activities are arranged by date and time.

The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.

The Program has labeled the meeting rooms with "letters" preceding the name of the room, designating in which facility the room is located:

Minneapolis Convention Center = “MCC” Hilton Minneapolis Hotel = “H” Hyatt Regency Minneapolis = “HY”

Back to main JSM 2005 Program page

Legend:

= Applied Session,

= Theme Session,

= Presenter

Activity Number:	79
Type:	Invited
Date/Time:	Monday, August 8, 2005 : 8:30 AM to 10:20 AM
Sponsor:	Section on Statistics in Epidemiology
Abstract - #302609
Title:	Estimation of Treatment Effects Adjusted for Post-treatment Confounding
Author(s):	Arvid Sjölander*+ and Juni Palmgren
Companies:	Karolinska Institutet and Karolinska Institutet
Address:	Department of Medical Epidemiology and Biostatistics, Stockholm, 171 77, Sweden
Keywords:	Rubin's causal model ; potential outcomes ; principal stratification ; causal effect ; direct effect
Abstract:	A common problem in epidemiology and clinical medicine is to estimate the effect of an exposure or treatment when it is confounded by one or several variables. If the confounders are post treatment, the problem cannot be handled with ordinary methods such as stratification. We define the causal direct effect of an exposure (treatment or confounder) as a discrepancy in the response distribution for exposed and unexposed individuals when all other factors are equal. We show that in the presence of a post-treatment confounder, the direct effect of the exposure is observable if the direct effect of the confounder is known. Additional assumptions also hold true. Our work is carried out within the framework of Rubin's causal model, and our results are compared to the broad ideas of principal effects and principal stratification.

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 2005 program