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

Significance 2026

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Authors: Gauri Kamat

DOI: 10.1093/jrssig/qmag008

Cited by: 1

References: 5

Abstract

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

Reliability and Agreement in Measurement Meta-analysis and systematic reviews Data Quality and Management

References 5