JSM 2005 Online Program

Abstract #303071

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.

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Activity Number:	393
Type:	Topic Contributed
Date/Time:	Wednesday, August 10, 2005 : 10:30 AM to 12:20 PM
Sponsor:	Social Statistics Section
Abstract - #303071
Title:	Model-based Estimation in Network Sampling Using Samples Obtained by Subsampling
Author(s):	Mike Kwanisai*+
Companies:	NORC at the University of Chicago
Address:	1662K Carlyle Dr, Crofton, MD, 21114, United States
Keywords:	Link-tracing ; Snowball sampling ; MCMC ; Bayesian
Abstract:	In social networks, subjects are linked to one another and form structures usually of interest to scientists and policymakers. In most cases, these subjects have a variable of interest that can be observed only after the subjects have been interviewed. Unfortunately, it is usually difficult to obtain this information, especially when these individuals are difficult to sample because of their elusive nature or other prohibitive characteristics. Link-tracing sampling designs are commonly used to draw samples from these special populations. These sampling designs produce biased samples that make the estimation of quantities of interest difficult. Assuming a stochastic block model for populations of interest, we discuss link-tracing designs in which only a fraction of relations are traced to include subjects into the study. Using simulated and real-study datasets, we demonstrate how estimation for population quantities can be done using samples drawn from such populations.

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