Literature DB >> 16022163

Two-stage sample size re-estimation based on a nuisance parameter: a review.

Michael A Proschan1.   

Abstract

Sample size calculations are important and difficult in clinical trails because they depend on the nuisance parameter and treatment effect. Recently, much attention has been focused on two-stage methods whereby the first stage constitutes an internal pilot study used to estimate parameters and revise the final sample size. This paper reviews two-stage methods based on estimation of nuisance parameters in either a continuous or dichotomous outcome setting.

Mesh:

Year:  2005        PMID: 16022163     DOI: 10.1081/BIP-200062852

Source DB:  PubMed          Journal:  J Biopharm Stat        ISSN: 1054-3406            Impact factor:   1.051


  20 in total

1.  Internal pilots for a class of linear mixed models with Gaussian and compound symmetric data.

Authors:  Matthew J Gurka; Christopher S Coffey; Keith E Muller
Journal:  Stat Med       Date:  2007-09-30       Impact factor: 2.373

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

3.  Sample size recalculation in sequential diagnostic trials.

Authors:  Liansheng Larry Tang; Aiyi Liu
Journal:  Biostatistics       Date:  2009-10-12       Impact factor: 5.899

4.  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

5.  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

Review 6.  Adaptive designs for randomized trials in public health.

Authors:  C Hendricks Brown; Thomas R Ten Have; Booil Jo; Getachew Dagne; Peter A Wyman; Bengt Muthén; Robert D Gibbons
Journal:  Annu Rev Public Health       Date:  2009       Impact factor: 21.981

7.  A post hoc evaluation of a sample size re-estimation in the Secondary Prevention of Small Subcortical Strokes study.

Authors:  Leslie A McClure; Jeff M Szychowski; Oscar Benavente; Robert G Hart; Christopher S Coffey
Journal:  Clin Trials       Date:  2016-04-19       Impact factor: 2.486

8.  Optimal sampling ratios in comparative diagnostic trials.

Authors:  Ting Dong; Liansheng Larry Tang; William F Rosenberger
Journal:  J R Stat Soc Ser C Appl Stat       Date:  2014-04       Impact factor: 1.864

9.  Options and Considerations for Adaptive Laboratory Experiments.

Authors:  Lai Wei; David Jarjoura
Journal:  Stat Biosci       Date:  2014-11-25

10.  Sample size re-estimation in an on-going NIH-sponsored clinical trial: the secondary prevention of small subcortical strokes experience.

Authors:  Leslie A McClure; Jeff M Szychowski; Oscar Benavente; Christopher S Coffey
Journal:  Contemp Clin Trials       Date:  2012-06-30       Impact factor: 2.226

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