ロード中...
A Bayesian framework to account for uncertainty due to missing binary outcome data in pairwise meta‐analysis
Missing outcome data are a common threat to the validity of the results from randomised controlled trials (RCTs), which, if not analysed appropriately, can lead to misleading treatment effect estimates. Studies with missing outcome data also threaten the validity of any meta‐analysis that includes t...
保存先:
| 出版年: | Stat Med |
|---|---|
| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
John Wiley and Sons Inc.
2015
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5054891/ https://ncbi.nlm.nih.gov/pubmed/25809313 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.6475 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|