Cargando…
Conditionally unbiased and near unbiased estimation of the selected treatment mean for multistage drop-the-losers trials
The two-stage drop-the-loser design provides a framework for selecting the most promising of K experimental treatments in stage one, in order to test it against a control in a confirmatory analysis at stage two. The multistage drop-the-losers design is both a natural extension of the original two-st...
Autores principales: | Bowden, Jack, Glimm, Ekkehard |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BlackWell Publishing Ltd
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4034592/ https://www.ncbi.nlm.nih.gov/pubmed/24353149 http://dx.doi.org/10.1002/bimj.201200245 |
Ejemplares similares
-
Empirical Bayes estimation of the selected treatment mean for two-stage drop-the-loser trials: a meta-analytic approach
por: Bowden, Jack, et al.
Publicado: (2014) -
Conditionally unbiased estimation in the normal setting with unknown variances
por: Robertson, David S., et al.
Publicado: (2018) -
Unbiased estimation for response adaptive clinical trials
por: Bowden, Jack, et al.
Publicado: (2015) -
Use of an efficient unbiased estimator for finite population mean
por: Shabbir, Javid, et al.
Publicado: (2022) -
Unbiased estimators and their applications
por: Voinov, V G, et al.
Publicado: (1993)