Literature DB >> 32417343

Principles of Good Clinical Trial Design.

Ming-Wen An1, Quyen Duong2, Jennifer Le-Rademacher2, Sumithra J Mandrekar2.   

Abstract

Clinical trials are a fundamental component of medical research and serve as the main route to obtain evidence of the safety and efficacy of treatment before its approval. A trial's ability to provide the intended evidence hinges on appropriate design, background knowledge, trial rationale to sample size, and interim monitoring rules. In this article, we present some general design principles for investigators and their research teams to consider when planning to conduct a trial.
Copyright © 2020 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Clinical trial; Collaboration; Design; Principles

Mesh:

Year:  2020        PMID: 32417343      PMCID: PMC7390662          DOI: 10.1016/j.jtho.2020.05.005

Source DB:  PubMed          Journal:  J Thorac Oncol        ISSN: 1556-0864            Impact factor:   15.609


  14 in total

Review 1.  Bayesian techniques for sample size determination in clinical trials: a short review.

Authors:  Hamid Pezeshk
Journal:  Stat Methods Med Res       Date:  2003-12       Impact factor: 3.021

Review 2.  Group sequential and adaptive designs - a review of basic concepts and points of discussion.

Authors:  Marc Vandemeulebroecke
Journal:  Biom J       Date:  2008-08       Impact factor: 2.207

Review 3.  Biomarker Clinical Trials in Lung Cancer: Design, Logistics, Challenges, and Practical Considerations.

Authors:  Jennifer Le-Rademacher; Suzanne Dahlberg; J Jack Lee; Alex A Adjei; Sumithra J Mandrekar
Journal:  J Thorac Oncol       Date:  2018-09-04       Impact factor: 15.609

Review 4.  Definitions and statistical properties of master protocols for personalized medicine in oncology.

Authors:  Lindsay A Renfro; Sumithra J Mandrekar
Journal:  J Biopharm Stat       Date:  2017-10-09       Impact factor: 1.051

5.  Guidelines for the Content of Statistical Analysis Plans in Clinical Trials.

Authors:  Carrol Gamble; Ashma Krishan; Deborah Stocken; Steff Lewis; Edmund Juszczak; Caroline Doré; Paula R Williamson; Douglas G Altman; Alan Montgomery; Pilar Lim; Jesse Berlin; Stephen Senn; Simon Day; Yolanda Barbachano; Elizabeth Loder
Journal:  JAMA       Date:  2017-12-19       Impact factor: 56.272

6.  Evaluation of End Points in Cancer Clinical Trials.

Authors:  Jun Yin; Suzanne E Dahlberg; Sumithra J Mandrekar
Journal:  J Thorac Oncol       Date:  2018-04-26       Impact factor: 15.609

7.  Statistical guidelines for contributors to medical journals.

Authors:  D G Altman; S M Gore; M J Gardner; S J Pocock
Journal:  Br Med J (Clin Res Ed)       Date:  1983-05-07

Review 8.  Bayesian clinical trials in action.

Authors:  J Jack Lee; Caleb T Chu
Journal:  Stat Med       Date:  2012-06-18       Impact factor: 2.373

Review 9.  Bayesian clinical trials.

Authors:  Donald A Berry
Journal:  Nat Rev Drug Discov       Date:  2006-01       Impact factor: 84.694

10.  The utility of Bayesian predictive probabilities for interim monitoring of clinical trials.

Authors:  Benjamin R Saville; Jason T Connor; Gregory D Ayers; JoAnn Alvarez
Journal:  Clin Trials       Date:  2014-05-28       Impact factor: 2.486

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