Abstract Details
Activity Number:
|
196
|
Type:
|
Roundtables
|
Date/Time:
|
Monday, August 4, 2014 : 12:30 PM to 1:50 PM
|
Sponsor:
|
Section for Statistical Programmers and Analysts
|
Abstract #311018
|
|
Title:
|
Inconsistencies in Estimating Propensity Scores
|
Author(s):
|
William Holmes*+
|
Companies:
|
University of Massachusetts, Boston
|
Keywords:
|
propensity score ;
inconsistent estimator ;
consistent estimator
|
Abstract:
|
We will discuss instances of inconsistent estimates in estimating propensity scores. The moderator will discuss situations in which propensity estimates may be inconsistent. The consequences for their use will be explored. Participants are invited to share their experiences when estimates have appeared inconsistent and what they did as a result. Also, the role of different estimation procedures will be discussed, as well as the use of variable transformations and modifications. Substantive inconsistency will be distinguished from analytical or population estimation inconsistency. Strategies will be described for detecting inconsistency and assessing its severity. Strategies for resolving the inconsistency will be considered. Participants are encouraged to suggest alternative strategies and critique those introduced. A summary of the discussion will be sent to participants after the meetings.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2014 program
|
2014 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Professional Development program, please contact the Education Department.
The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Copyright © American Statistical Association.