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Activity Number:
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188
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Type:
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Contributed
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Date/Time:
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Monday, August 4, 2008 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistics in Epidemiology
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| Abstract - #300556 |
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Title:
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Estimation in Hidden Population Using Social Network
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Author(s):
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Yang Zhao*+
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Companies:
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University of Regina
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Address:
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College West 307.14, Regina, SK, S4S 0A2, Canada
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Keywords:
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Hidden population ; Markov chain model ; Population proportion ; Respondent-driven sampling ; Social network relationships
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Abstract:
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Characteristics of hidden populations (e.g., population of injection drug users) cannot be studied using standard sampling and estimation procedures. This article considers methods for estimating the population proportion of hidden population using social network. We describe an one step sampling procedure for collecting data from both the population and its social network, and provide a method to estimate the population proportion efficiently. We further drive a formula to compute an estimate of the variance of the proposed estimator. Simulation study is provided to illustrate the new sampling and estimation methods.
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