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Alternative causal inference methods in population health research: Evaluating tradeoffs and triangulating evidence
Population health researchers from different fields often address similar substantive questions but rely on different study designs, reflecting their home disciplines. This is especially true in studies involving causal inference, for which semantic and substantive differences inhibit interdisciplin...
Tallennettuna:
| Julkaisussa: | SSM Popul Health |
|---|---|
| Päätekijät: | , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Elsevier
2019
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6926350/ https://ncbi.nlm.nih.gov/pubmed/31890846 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ssmph.2019.100526 |
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