Adjusting for selection bias in assessing treatment effect estimates from multiple subgroups-Reference-Cited by-同舟云学术

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Adjusting for selection bias in assessing treatment effect estimates from multiple subgroups

Published:2018-11-25 Issue:1 Volume:61 Page:216-229
ISSN:0323-3847
Container-title:Biometrical Journal
language:en
Short-container-title:Biom. J.

Author:

Glimm Ekkehard¹²^ORCID

Affiliation:

1. Novartis Pharma AG; Novartis Campus; Basel Switzerland

2. Otto-von-Guericke University; Institute of Biometry and Medical Informatics; Magdeburg Germany

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/bimj.201800097/fullpdf

Reference30 articles.

1. Confidence intervals for confirmatory adaptive two-stage designs with treatment selection;Bebu;Biometrical Journal,2013

2. Likelihood inference for a two-stage design with treatment selection;Bebu;Biometrical Journal,2010

3. A single-sample multiple decision procedure for ranking means of normal populations with known variances;Bechhofer;Annals of Mathematical Statistics,1954

4. Bias corrected empirical Bayes confidence intervals for the selected mean;Bhattacharjee;Communications in Statistics - Theory and Methods,2018

5. Unbiased estimation of selected treatment means in two-stage trials;Bowden;Biometrical Journal,2008

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A unified Bayesian framework for bias adjustment in multiple comparisons from clinical trials;Statistics in Medicine;2024-05-14

2. A comparison of estimation methods adjusting for selection bias in adaptive enrichment designs with time‐to‐event endpoints;Statistics in Medicine;2022-01-31

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