ロード中...
Accounting for Misclassified Outcomes in Binary Regression Models Using Multiple Imputation With Internal Validation Data
Outcome misclassification is widespread in epidemiology, but methods to account for it are rarely used. We describe the use of multiple imputation to reduce bias when validation data are available for a subgroup of study participants. This approach is illustrated using data from 308 participants in...
保存先:
| 主要な著者: | , , , |
|---|---|
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Oxford University Press
2013
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3983405/ https://ncbi.nlm.nih.gov/pubmed/24627573 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/aje/kws340 |
| 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!
|