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Sample size estimation for stratified individual and cluster randomized trials with binary outcomes
Individual randomized trials (IRTs) and cluster randomized trials (CRTs) with binary outcomes arise in a variety of settings and are often analyzed by logistic regression (fitted using generalized estimating equations for CRTs). The effect of stratification on the required sample size is less well u...
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| Veröffentlicht in: | Stat Med |
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| Hauptverfasser: | , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7247053/ https://ncbi.nlm.nih.gov/pubmed/32003492 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.8492 |
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