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A latent-variable marginal method for multi-level incomplete binary data
Incomplete multi-level data arise commonly in many clinical trials and observational studies. Because of multi-level variations in this type of data, appropriate data analysis should take these variations into account. A random effects model can allow for the multi-level variations by assuming rando...
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| 主要な著者: | , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2012
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3631603/ https://ncbi.nlm.nih.gov/pubmed/22733392 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.5394 |
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