Literature DB >> 16972704

Sample size recalculation in internal pilot study designs: a review.

Tim Friede1, Meinhard Kieser.   

Abstract

The adequacy of sample size is important to clinical trials. In the planning phase of a trial, however, the investigators are often quite uncertain about the sizes of parameters which are needed for sample size calculations. A solution to this problem is mid-course recalculation of the sample size during the ongoing trial. In internal pilot study designs, nuisance parameters are estimated on the basis of interim data and the sample size is adjusted accordingly. This review attempts to give an overview on the available methods. It is written not only for biometricians who are already familar with the the topic and wish to update their knowledge but also for users new to the subject.

Mesh:

Year:  2006        PMID: 16972704     DOI: 10.1002/bimj.200510238

Source DB:  PubMed          Journal:  Biom J        ISSN: 0323-3847            Impact factor:   2.207


  44 in total

1.  The Adaptive designs CONSORT Extension (ACE) statement: a checklist with explanation and elaboration guideline for reporting randomised trials that use an adaptive design.

Authors:  Munyaradzi Dimairo; Philip Pallmann; James Wason; Susan Todd; Thomas Jaki; Steven A Julious; Adrian P Mander; Christopher J Weir; Franz Koenig; Marc K Walton; Jon P Nicholl; Elizabeth Coates; Katie Biggs; Toshimitsu Hamasaki; Michael A Proschan; John A Scott; Yuki Ando; Daniel Hind; Douglas G Altman
Journal:  BMJ       Date:  2020-06-17

2.  Practical Methods for Bounding Type I Error Rate with an Internal Pilot Design.

Authors:  Christopher S Coffey; John A Kairalla; Keith E Muller
Journal:  Commun Stat Theory Methods       Date:  2007       Impact factor: 0.893

Review 3.  Two-stage designs in bioequivalence trials.

Authors:  Helmut Schütz
Journal:  Eur J Clin Pharmacol       Date:  2015-01-22       Impact factor: 2.953

Review 4.  Essential statistical principles of clinical trials of pain treatments.

Authors:  Robert H Dworkin; Scott R Evans; Omar Mbowe; Michael P McDermott
Journal:  Pain Rep       Date:  2020-12-18

5.  Projecting Event-Based Analysis Dates in Clinical Trials: An Illustration Based on the International Duration Evaluation of Adjuvant Chemotherapy (IDEA) Collaboration. Projecting analysis dates for the IDEA collaboration.

Authors:  Lindsay A Renfro; Axel M Grothey; James Paul; Irene Floriani; Franck Bonnetain; Donna Niedzwiecki; Takeharu Yamanaka; Ioannis Souglakos; Greg Yothers; Daniel J Sargent
Journal:  Forum Clin Oncol       Date:  2014-12-10

6.  Outcomes and statistical power in adult critical care randomized trials.

Authors:  Michael O Harhay; Jason Wagner; Sarah J Ratcliffe; Rachel S Bronheim; Anand Gopal; Sydney Green; Elizabeth Cooney; Mark E Mikkelsen; Meeta Prasad Kerlin; Dylan S Small; Scott D Halpern
Journal:  Am J Respir Crit Care Med       Date:  2014-06-15       Impact factor: 21.405

7.  GLUMIP 2.0: SAS/IML Software for Planning Internal Pilots.

Authors:  John A Kairalla; Christopher S Coffey; Keith E Muller
Journal:  J Stat Softw       Date:  2008-11-13       Impact factor: 6.440

8.  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

9.  Overview, hurdles, and future work in adaptive designs: perspectives from a National Institutes of Health-funded workshop.

Authors:  Christopher S Coffey; Bruce Levin; Christina Clark; Cate Timmerman; Janet Wittes; Peter Gilbert; Sara Harris
Journal:  Clin Trials       Date:  2012-12       Impact factor: 2.486

10.  Power and Sample Size Calculations for Generalized Estimating Equations via Local Asymptotics.

Authors:  Zhigang Li; Ian W McKeague
Journal:  Stat Sin       Date:  2013-01-01       Impact factor: 1.261

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