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Recent Advances on Estimating Population Size with Link-Tracing Sampling

2017/09/22 by Kyle Vincent, Vincent, Kyle
Mathematics · Medicine · #Census and Population Estimation #Data-Driven Disease Surveillance #FOS: Computer and information sciences #HIV, Drug Use, Sexual Risk #Methodology (stat.ME)

paper · pdf · doi:10.48550/arxiv.1709.07556

openalex publication_date 2017/09/22 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

A new approach to estimate population size based on a stratified link-tracing sampling design is presented. The method extends on the Frank and Snijders (1994) approach by allowing for heterogeneity in the initial sample selection procedure. Rao-Blackwell estimators and corresponding resampling approximations similar to that detailed in Vincent and Thompson (2017) are explored. An empirical application is provided for a hard-to-reach networked population. The results demonstrate that the approach has much potential for application to such populations. Supplementary materials for this article are available online.

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