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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Taylor & Francis
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6540744/ https://www.ncbi.nlm.nih.gov/pubmed/31217751 http://dx.doi.org/10.1080/03610926.2017.1417429 |