Evidence map›Paper›PMID 39810878›Full record

ArticleJournal of the Royal Statistical Society. Series A, (Statistics in Society)2025

Studying Chinese immigrants' spatial distribution in the Raleigh-Durham area by linking survey and commercial data using romanized names.

Eric A Bai, Botao Ju, Madeleine Beckner, Jerome P Reiter, M Giovanna Merli, Ted Mouw

Abstract read
In one paragraph

Article in Journal of the Royal Statistical Society. Series A, (Statistics in Society), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Eric A BaiDepartment of Statistical Science, Duke University, Box 90251, Durham, NC 27708, USA.
Botao JuDepartment of Statistical Science, Duke University, Box 90251, Durham, NC 27708, USA.
Madeleine BecknerDepartment of Statistical Science, Duke University, Box 90251, Durham, NC 27708, USA.
Jerome P ReiterDepartment of Statistical Science, Duke University, Box 90251, Durham, NC 27708, USA.ORCID https://orcid.org/0000-0002-8374-3832
M Giovanna MerliSanford School of Public Policy and Duke Population Research Institute, Duke University, 236 Rubinstein Hall, Durham, NC 27708, USA.
Ted MouwDepartment of Sociology and Carolina Population Center, University of Carolina at Chapel Hill, 268 Hamilton Hall, Chapel Hill, NC 27516, USA.

Funding

Science CoreP2CHD065563 · NICHD · DUKE UNIVERSITY · PI Giovanna M Merli · 2015 to 2026
$5.7M
Testing Multiple Modes of Data Collection with Network Sampling with MemoryR21HD086738 · NICHD · DUKE UNIVERSITY · PI MERLI, GIOVANNA M · 2016 to 2017
$435k
NICHD NIH HHS P2C HD065563NICHD NIH HHS R21 HD086738
6 · The paper itself

Abstract

Many population surveys do not provide information on respondents' residential addresses, instead offering coarse geographies like zip code or higher aggregations. However, fine resolution geography can be beneficial for characterizing neighbourhoods, especially for relatively rare populations such as immigrants. One way to obtain such information is to link survey records to records in auxiliary databases that include residential addresses by matching on variables common to both files. We present an approach based on probabilistic record linkage that enables matching survey participants in the Chinese Immigrants in Raleigh-Durham Study to records from InfoUSA, an information provider of residential records. The two files use different Chinese name romanization practices, which we address through a novel and generalizable strategy for constructing records' pairwise comparison vectors for romanized names. Using a fully Bayesian record linkage model, we characterize the geospatial distribution of Chinese immigrants in the Raleigh-Durham area of North Carolina.

Indexed as

entity resolutionfusionmatchingtransliteration

Identifiers

PMID39810878
PMCPMC11728054

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.