This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
|
383
|
Type:
|
Invited
|
Date/Time:
|
Tuesday, August 3, 2010 : 2:00 PM to 3:50 PM
|
Sponsor:
|
Section on Statistics in Epidemiology
|
Abstract - #306184 |
Title:
|
Using Genes as Instrumental Variables in Analyses of Social Network Data
|
Author(s):
|
A. James O'Malley and J. Niels Rosenquist*+ and Alan Zaslavsky and Nicholas A. Christakis
|
Companies:
|
Harvard Medical School and Harvard Medical School and Harvard University
|
Address:
|
, , ,
|
Keywords:
|
Genes ;
Instrumental variable ;
Longitudinal observations ;
Peer effect ;
Social network ;
Two-stage least squares
|
Abstract:
|
We describe methodology for evaluating peer effects in a social network with respect to health behavior using an "instrumental variable" approach. The key idea is that a person (an "ego") may have peers (or "alters") who are randomly "assigned" genes predisposing the alters to certain health behaviors, and that this random assignment can be seen as a kind of natural experiment, exposing the ego to peers who either exhibit or do not exhibit the pertinent behaviors. Using non-parametric two-stage IV estimation and alternative structural equations models, we will assess whether obesity and smoking in an ego's alters (e.g., friends, siblings), are causally related to similar behaviors in the ego and if so test the more complex hypothesis that similarity effects will vary according to the closeness of the relationship between the ego and the alter.
|
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.