Literature DB >> 10474138

A unified theory for sequential clinical trials.

J Whitehead1.   

Abstract

The theory underlying sequential clinical trials is now well developed, and the methodology is increasingly being implemented in practice, both by the pharmaceutical industry and in the public sector. The consequences of conducting interim analyses for frequentist interpretations of data are now well understood. A large number of approaches are available for the calculation of stopping boundaries and for the eventual terminal analysis. In this paper, the principles of the design and analysis of sequential clinical trials will be presented. Existing methods will be reviewed, and their relationships with the general principles will be clarified. Controversies and gaps within the methodology will be highlighted. It is intended that presentation of the subject as a single unified theory will allow the few essential underlying features to be better appreciated.

Mesh:

Year:  1999        PMID: 10474138     DOI: 10.1002/(sici)1097-0258(19990915/30)18:17/18<2271::aid-sim254>3.0.co;2-z

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


  8 in total

1.  Interim analyses and sequential designs in phase III studies.

Authors:  S Todd; A Whitehead; N Stallard; J Whitehead
Journal:  Br J Clin Pharmacol       Date:  2001-05       Impact factor: 4.335

2.  Group sequential methods and sample size savings in biomarker-disease association studies.

Authors:  R Aplenc; H Zhao; T R Rebbeck; K J Propert
Journal:  Genetics       Date:  2003-03       Impact factor: 4.562

3.  Nonparametric sequential evaluation of diagnostic biomarkers.

Authors:  Aiyi Liu; Chengqing Wu; Enrique F Schisterman
Journal:  Stat Med       Date:  2008-05-10       Impact factor: 2.373

4.  Estimation After a Group Sequential Trial.

Authors:  Elasma Milanzi; Geert Molenberghs; Ariel Alonso; Michael G Kenward; Anastasios A Tsiatis; Marie Davidian; Geert Verbeke
Journal:  Stat Biosci       Date:  2014-02-22

5.  On random sample size, ignorability, ancillarity, completeness, separability, and degeneracy: sequential trials, random sample sizes, and missing data.

Authors:  Geert Molenberghs; Michael G Kenward; Marc Aerts; Geert Verbeke; Anastasios A Tsiatis; Marie Davidian; Dimitris Rizopoulos
Journal:  Stat Methods Med Res       Date:  2012-04-18       Impact factor: 3.021

6.  Triangular test applied to the clinical trial of azithromycin against relapses in Plasmodium vivax infections.

Authors:  Stéphane Ranque; Sékéné Badiaga; Jean Delmont; Philippe Brouqui
Journal:  Malar J       Date:  2002-11-12       Impact factor: 2.979

7.  A Tutorial on Hunting Statistical Significance by Chasing N.

Authors:  Denes Szucs
Journal:  Front Psychol       Date:  2016-09-22

Review 8.  An Investigation of the Shortcomings of the CONSORT 2010 Statement for the Reporting of Group Sequential Randomised Controlled Trials: A Methodological Systematic Review.

Authors:  Abigail Stevely; Munyaradzi Dimairo; Susan Todd; Steven A Julious; Jonathan Nicholl; Daniel Hind; Cindy L Cooper
Journal:  PLoS One       Date:  2015-11-03       Impact factor: 3.240

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.