Sources of potential bias when combining routine data linkage and a national survey of secondary school-aged children: a record linkage study
- DOI
- 10.1186/s12874-020-01064-1
- Published
- 2020-07-02
- Container
- BMC Medical Research Methodology
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s12874-020-01064-1,
title = {Sources of potential bias when combining routine data linkage and a national survey of secondary school-aged children: a record linkage study},
author = {Kelly Morgan and Nicholas Page and Rachel Brown and Sara Long and Gillian Hewitt and Marcos Del Pozo-Banos and Ann John and Simon Murphy and Graham Moore},
year = {2020},
journal = {BMC Medical Research Methodology},
doi = {10.1186/s12874-020-01064-1},
url = {https://doi.org/10.1186/s12874-020-01064-1}
}RIS
TY - JOUR TI - Sources of potential bias when combining routine data linkage and a national survey of secondary school-aged children: a record linkage study AU - Kelly Morgan AU - Nicholas Page AU - Rachel Brown AU - Sara Long AU - Gillian Hewitt AU - Marcos Del Pozo-Banos AU - Ann John AU - Simon Murphy AU - Graham Moore PY - 2020 JO - BMC Medical Research Methodology DO - 10.1186/s12874-020-01064-1 UR - https://doi.org/10.1186/s12874-020-01064-1 ER -
APA
Morgan, K., Page, N., Brown, R., Long, S., Hewitt, G., Pozo-Banos, M. D., John, A., Murphy, S., & Moore, G. (2020). Sources of potential bias when combining routine data linkage and a national survey of secondary school-aged children: a record linkage study. BMC Medical Research Methodology. https://doi.org/10.1186/s12874-020-01064-1
Source records
- crossref · retrieved 2026-11-05T22:36:47.174Z