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Conditionally unbiased estimation in the normal setting with unknown variances
To efficiently and completely correct for selection bias in adaptive two-stage trials, uniformly minimum variance conditionally unbiased estimators (UMVCUEs) have been derived for trial designs with normally distributed data. However, a common assumption is that the variances are known exactly, whic...
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| Опубликовано в: : | Commun Stat Theory Methods |
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| Главные авторы: | , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Taylor & Francis
2018
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6540744/ https://ncbi.nlm.nih.gov/pubmed/31217751 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/03610926.2017.1417429 |
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