Literature DB >> 21037942

Combining an Internal Pilot with an Interim Analysis for Single Degree of Freedom Tests.

John A Kairalla1, Keith E Muller, Christopher S Coffey.   

Abstract

An internal pilot with interim analysis (IPIA) design combines interim power analysis (an internal pilot) with interim data analysis (two stage group sequential). We provide IPIA methods for single df hypotheses within the Gaussian general linear model, including one and two group t tests. The design allows early stopping for efficacy and futility while also re-estimating sample size based on an interim variance estimate. Study planning in small samples requires the exact and computable forms reported here. The formulation gives fast and accurate calculations of power, type I error rate, and expected sample size.

Entities:  

Year:  2010        PMID: 21037942      PMCID: PMC2965034          DOI: 10.1080/03610920903353709

Source DB:  PubMed          Journal:  Commun Stat Theory Methods        ISSN: 0361-0926            Impact factor:   0.893


  17 in total

1.  Exact test size and power of a Gaussian error linear model for an internal pilot study.

Authors:  C S Coffey; K E Muller
Journal:  Stat Med       Date:  1999-05-30       Impact factor: 2.373

2.  Controlling test size while gaining the benefits of an internal pilot design.

Authors:  C S Coffey; K E Muller
Journal:  Biometrics       Date:  2001-06       Impact factor: 2.571

3.  Mid-trial design reviews for sequential clinical trials.

Authors:  J Whitehead; A Whitehead; S Todd; K Bolland; M R Sooriyarachchi
Journal:  Stat Med       Date:  2001-01-30       Impact factor: 2.373

4.  A sequential procedure for a phase II efficacy trial in hypercholesterolemia.

Authors:  K M Facey
Journal:  Control Clin Trials       Date:  1992-04

5.  Properties of some tests in sequential analysis.

Authors:  A G BAKER
Journal:  Biometrika       Date:  1950-12       Impact factor: 2.445

6.  Some Distributions and Their Implications for an Internal Pilot Study With a Univariate Linear Model.

Authors:  Christopher S Coffey; Keith E Muller
Journal:  Commun Stat Theory Methods       Date:  2000-01       Impact factor: 0.893

7.  Approximately optimal one-parameter boundaries for group sequential trials.

Authors:  S K Wang; A A Tsiatis
Journal:  Biometrics       Date:  1987-03       Impact factor: 2.571

8.  Internal pilot studies for estimating sample size.

Authors:  M A Birkett; S J Day
Journal:  Stat Med       Date:  1994 Dec 15-30       Impact factor: 2.373

9.  Group sequential clinical trials with triangular continuation regions.

Authors:  J Whitehead; I Stratton
Journal:  Biometrics       Date:  1983-03       Impact factor: 2.571

10.  A multiple testing procedure for clinical trials.

Authors:  P C O'Brien; T R Fleming
Journal:  Biometrics       Date:  1979-09       Impact factor: 2.571

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  6 in total

1.  Adaptive designs for comparative effectiveness research trials.

Authors:  John A Kairalla; Christopher S Coffey; Mitchell A Thomann; Ronald I Shorr; Keith E Muller
Journal:  Clin Res Regul Aff       Date:  2014-11-13

Review 2.  Perinatal epidemiology: Issues, challenges, and potential solutions.

Authors:  Konstantinos Giannakou
Journal:  Obstet Med       Date:  2020-09-01

3.  Methodological issues in the design and analyses of neonatal research studies: Experience of the NICHD Neonatal Research Network.

Authors:  Abhik Das; Jon Tyson; Claudia Pedroza; Barbara Schmidt; Marie Gantz; Dennis Wallace; William E Truog; Rosemary D Higgins
Journal:  Semin Perinatol       Date:  2016-06-22       Impact factor: 3.300

4.  Options and Considerations for Adaptive Laboratory Experiments.

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

5.  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

Review 6.  Adaptive trial designs: a review of barriers and opportunities.

Authors:  John A Kairalla; Christopher S Coffey; Mitchell A Thomann; Keith E Muller
Journal:  Trials       Date:  2012-08-23       Impact factor: 2.279

  6 in total

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