This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 66
Type: Topic Contributed
Date/Time: Sunday, August 1, 2010 : 4:00 PM to 5:50 PM
Sponsor: Health Policy Statistics Section
Abstract - #309417
Title: Degrees of Uncertainty with Uncertain Degrees in Respondent-Driven Sampling
Author(s): Joseph Blitzstein*+
Companies: Harvard University
Address: , , ,
Keywords: social network analysis ; networks ; respondent-driven ; network sampling

Respondent-driven sampling (RDS) is a contact-tracing sampling design (introduced by Heckathorn) which is widely and increasingly being used to study hard-to-reach populations such as injection drug users and individuals at high risk of HIV infection. We compare model-based vs. design-based estimators in this setting, and study the bias-variance tradeoffs which result depending on what assumptions one is willing to make about the population of interest and about the network structure.

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