Literature DB >> 22213002

Comments on 'Adaptive increase in sample size when interim results are promising: a practical guide with examples' by C. R. Mehta and S. J. Pocock.

Ekkehard Glimm.   

Abstract

Mesh：

Year:  2012        PMID： 22213002     DOI： 10.1002/sim.4424

Source DB:  PubMed          Journal:  Stat Med        ISSN： 0277-6715            Impact factor:   2.373


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  6 in total

1.  Twenty-five years of confirmatory adaptive designs: opportunities and pitfalls.

Authors:  Peter Bauer; Frank Bretz; Vladimir Dragalin; Franz König; Gernot Wassmer
Journal:  Stat Med       Date:  2015-03-16       Impact factor: 2.373

2.  Adaptive Budgets in Clinical Trials.

Authors:  Martin Posch; Peter Bauer
Journal:  Stat Biopharm Res       Date:  2013-04-04       Impact factor: 1.452

3.  Sample size estimation and re-estimation of cluster randomized controlled trials for real-time feedback, debriefing, and retraining system of cardiopulmonary resuscitation for out-of-hospital cardiac arrests.

Authors:  Akiko Kada; Akihiro Hirakawa; Fumie Kinoshita; Yumiko Kobayashi; Toshihiro Hatakeyama; Daisuke Kobayashi; Chika Nishiyama; Taku Iwami
Journal:  Contemp Clin Trials Commun       Date:  2019-01-04

4.  Optimal promising zone designs.

Authors:  Samuel T Hsiao; Lingyun Liu; Cyrus R Mehta
Journal:  Biom J       Date:  2018-11-08       Impact factor: 2.207

5.  A systematic review of the "promising zone" design.

Authors:  Julia M Edwards; Stephen J Walters; Cornelia Kunz; Steven A Julious
Journal:  Trials       Date:  2020-12-04       Impact factor: 2.279

6.  A review and re-interpretation of a group-sequential approach to sample size re-estimation in two-stage trials.

Authors:  J Bowden; A Mander
Journal:  Pharm Stat       Date:  2014-04-02       Impact factor: 1.894
  6 in total

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