Mismatches and missed matches: Why mislinked data can mislead public health studies

Abstract Linkage errors distort data and warp conclusions. The public deserves honesty, says Gauri Kamat

Authors

Gauri Kamat (ORCID: https://orcid.org/0000-0001-9338-0820)

Institutions

Eli Lilly (United States) (US)

Publication Details

Journal: Significance
Published: 2026-02-13
DOI: https://doi.org/10.1093/jrssig/qmag008
Citations: 1
Primary Topic: Reliability and Agreement in Measurement
Type: article
Field-Weighted Citation Impact: 28.09

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article

Mismatches and missed matches: Why mislinked data can mislead public health studies

Gauri Kamat

Feb 13, 2026

1 citations

Significance

Reliability and Agreement in Measurement

28.09

article

Mismatches and missed matches: Why mislinked data can mislead public health studies

Gauri Kamat

February 13, 2026article en

1 citations

Abstract

Abstract Linkage errors distort data and warp conclusions. The public deserves honesty, says Gauri Kamat

SignificanceVol. 23(2)

Eli Lilly (United States) (US)

Openalex Percentile: Top 1%

Reliability and Agreement in Measurement

28.09

DOI Source OpenAlex

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Mismatches and missed matches: Why mislinked data can mislead public health studies — Gauri Kamat · Significance (2026) | TGRS Research Map | TGRS