A blueprint for synthetic control methodology: a causal inference tool for evaluating natural experiments in population health.

Barr, Ben; Zhang, Xingna; Green, Mark; Buchan, Iain

Barr, Ben; Zhang, Xingna; Green, Mark; Buchan, Iain.

Barr B; Department of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK.
Zhang X; Department of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK.
Green M; Department of Geography and Planning, University of Liverpool, Liverpool, UK.
Buchan I; Department of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK buchan@liverpool.ac.uk.

BMJ ; 379: o2712, 2022 11 23.

Article in English | MEDLINE | ID: covidwho-2137621

Subject(s)

Population Health; Humans; Causality

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Population Health Type of study: Experimental Studies Limits: Humans Language: English Journal: BMJ Journal subject: Medicine Year: 2022 Document Type: Article Affiliation country: Bmj.o2712

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