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A Bayesian comparative effectiveness trial in action: developing a platform for multisite study adaptive randomization.
Brown, Alexandra R; Gajewski, Byron J; Aaronson, Lauren S; Mudaranthakam, Dinesh Pal; Hunt, Suzanne L; Berry, Scott M; Quintana, Melanie; Pasnoor, Mamatha; Dimachkie, Mazen M; Jawdat, Omar; Herbelin, Laura; Barohn, Richard J.
Afiliación
  • Brown AR; Department of Biostatistics, University of Kansas Medical Center, Mail Stop 1026, 3901 Rainbow Blvd, Kansas City, KS, 66160, USA. abrown8@kumc.edu.
  • Gajewski BJ; Department of Biostatistics, University of Kansas Medical Center, Mail Stop 1026, 3901 Rainbow Blvd, Kansas City, KS, 66160, USA.
  • Aaronson LS; School of Nursing, University of Kansas Medical Center, Kansas City, KS, 66160, USA.
  • Mudaranthakam DP; Department of Biostatistics, University of Kansas Medical Center, Mail Stop 1026, 3901 Rainbow Blvd, Kansas City, KS, 66160, USA.
  • Hunt SL; Department of Biostatistics, University of Kansas Medical Center, Mail Stop 1026, 3901 Rainbow Blvd, Kansas City, KS, 66160, USA.
  • Berry SM; Berry Consultants, 4301 Westbank Drive, Suite 140, Bldg B, Austin, TX, 78746, USA.
  • Quintana M; Berry Consultants, 4301 Westbank Drive, Suite 140, Bldg B, Austin, TX, 78746, USA.
  • Pasnoor M; Department of Neurology, University of Kansas Medical Center, Kansas City, KS, 66160, USA.
  • Dimachkie MM; Department of Neurology, University of Kansas Medical Center, Kansas City, KS, 66160, USA.
  • Jawdat O; Department of Neurology, University of Kansas Medical Center, Kansas City, KS, 66160, USA.
  • Herbelin L; Department of Neurology, University of Kansas Medical Center, Kansas City, KS, 66160, USA.
  • Barohn RJ; Department of Neurology, University of Kansas Medical Center, Kansas City, KS, 66160, USA.
Trials ; 17(1): 428, 2016 08 31.
Article en En | MEDLINE | ID: mdl-27577191
ABSTRACT

BACKGROUND:

In the last few decades, the number of trials using Bayesian methods has grown rapidly. Publications prior to 1990 included only three clinical trials that used Bayesian methods, but that number quickly jumped to 19 in the 1990s and to 99 from 2000 to 2012. While this literature provides many examples of Bayesian Adaptive Designs (BAD), none of the papers that are available walks the reader through the detailed process of conducting a BAD. This paper fills that gap by describing the BAD process used for one comparative effectiveness trial (Patient Assisted Intervention for Neuropathy Comparison of Treatment in Real Life Situations) that can be generalized for use by others. A BAD was chosen with efficiency in mind. Response-adaptive randomization allows the potential for substantially smaller sample sizes, and can provide faster conclusions about which treatment or treatments are most effective. An Internet-based electronic data capture tool, which features a randomization module, facilitated data capture across study sites and an in-house computation software program was developed to implement the response-adaptive randomization.

RESULTS:

A process for adapting randomization with minimal interruption to study sites was developed. A new randomization table can be generated quickly and can be seamlessly integrated in the data capture tool with minimal interruption to study sites.

CONCLUSION:

This manuscript is the first to detail the technical process used to evaluate a multisite comparative effectiveness trial using adaptive randomization. An important opportunity for the application of Bayesian trials is in comparative effectiveness trials. The specific case study presented in this paper can be used as a model for conducting future clinical trials using a combination of statistical software and a web-based application. TRIAL REGISTRATION ClinicalTrials.gov Identifier NCT02260388 , registered on 6 October 2014.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Proyectos de Investigación / Ensayos Clínicos Controlados Aleatorios como Asunto / Teorema de Bayes / Investigación sobre la Eficacia Comparativa Tipo de estudio: Clinical_trials / Prognostic_studies Límite: Humans Idioma: En Revista: Trials Asunto de la revista: MEDICINA / TERAPEUTICA Año: 2016 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Proyectos de Investigación / Ensayos Clínicos Controlados Aleatorios como Asunto / Teorema de Bayes / Investigación sobre la Eficacia Comparativa Tipo de estudio: Clinical_trials / Prognostic_studies Límite: Humans Idioma: En Revista: Trials Asunto de la revista: MEDICINA / TERAPEUTICA Año: 2016 Tipo del documento: Article País de afiliación: Estados Unidos