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A pattern-mixture model approach for handling missing continuous outcome data in longitudinal cluster randomized trials
We extend the pattern mixture approach to handle missing continuous outcome data in longitudinal cluster randomized trials, which randomize groups of individuals to treatment arms, rather than the individuals themselves. Individuals who drop out at the same time point are grouped into the same dropo...
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| 出版年: | Stat Med |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5628153/ https://ncbi.nlm.nih.gov/pubmed/28783884 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.7418 |
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