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Journal ArticleDOI

67A Designed extension of studies based on conditional power

Michael A. Proschan, +1 more
- 01 Jun 1995 - 
- Vol. 16, Iss: 3
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TLDR
A flexible method of extending a study based on conditional power, where the significance of the treatment difference at the planned end is used to determine the number of additional observations needed and the critical value necessary after accruing those additional observations.
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This article is published in Controlled Clinical Trials.The article was published on 1995-06-01. It has received 252 citations till now. The article focuses on the topics: Extension (predicate logic).

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Citations
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Journal ArticleDOI

Finding Critical Values to Control Type I Error for a Biomarker Informed Two-Stage Winner Design

TL;DR: Adaptive clinical trial designs can assist in potentially accelerating clinical development and improving efficiency, however, the multiple interim looks and adaptive adjustments with the design can lead to inflation of type I error.
Journal ArticleDOI

Sample Size Re-estimation in Clinical Trials: Overview of Methods and the Statistical View Points to Consider

TL;DR: In this review, focusing on sample size re-estimation which is a relatively simple and basic adaptive design, some outlines of methods and review statistical points to consider are given.
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Stopping Boundaries of Flexible Sample Size Design With Flexible Trial Monitoring

TL;DR: In this article, a modified α-spending function adjusted for sample size reestimation (SSR) is proposed to maintain the Type I error level with and without sample size adjustment constraints.
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Sample size increase during a survival trial when interim results are promising

TL;DR: In this paper, the authors extend Mehta and Pocock (2011) to provide a way in doing sample size increase in survival trials by dividing the sample space by observed test statistic at interim into three zones: un...
References
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Journal ArticleDOI

Modification of Sample Size in Group Sequential Clinical Trials

TL;DR: A new group sequential test procedure is developed by modifying the weights used in the traditional repeated significance two-sample mean test, which has the type I error probability preserved at the target level and can provide a substantial gain in power with the increase of sample size.
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Adaptive design methods in clinical trials – a review

TL;DR: Several commonly considered adaptive designs in clinical trials are reviewed and some examples concerning the development of Velcade intended for multiple myeloma and non-Hodgkin's lymphoma are given.
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Adaptive Designs in Clinical Drug Development—An Executive Summary of the PhRMA Working Group

TL;DR: Three particular areas where it is felt that adaptive designs can be utilized beneficially are discussed: dose finding, seamless Phase II/III trials designs, and sample size reestimation.
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Adaptive increase in sample size when interim results are promising: a practical guide with examples.

TL;DR: The benefits and limitations of adaptive sample size re-estimation for phase 3 confirmatory clinical trials are discussed and those promising circumstances in which a conventional final inference can be performed while preserving the overall type-1 error are defined.