Data extraction methods: an analysis of internal reporting discrepancies in single manuscripts and practical advice

Volume: 117, Pages: 158 - 164
Published: Jan 1, 2020
Abstract
Background Data extraction from reports about experimental or observational studies is a crucial methodological step informing evidence syntheses, such as systematic reviews (SRs) and overviews of SRs. Reporting discrepancies were defined as pairs of statements that could not both be true. Authors of SRs and overviews of SRs can encounter reporting discrepancies among multiple sources when extracting data—a manuscript and a conference abstract,...
Paper Details
Title
Data extraction methods: an analysis of internal reporting discrepancies in single manuscripts and practical advice
Published Date
Jan 1, 2020
Volume
117
Pages
158 - 164
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