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Allowing for informative missingness in aggregate data meta-analysis with continuous or binary outcomes: Extensions to metamiss
Missing outcome data can invalidate the results of randomized trials and their meta-analysis. However, addressing missing data is often a challenging issue because it requires untestable assumptions. The impact of missing outcome data on the meta-analysis summary effect can be explored by assuming a...
Tallennettuna:
| Julkaisussa: | Stata J |
|---|---|
| Päätekijät: | , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2018
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6309174/ https://ncbi.nlm.nih.gov/pubmed/30595674 |
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