Literature DB >> 27378791

Pragmatic clinical trials: Emerging challenges and new roles for statisticians.

Robert M Califf1.   

Abstract

Patients, clinicians, and policymakers alike need access to high-quality scientific evidence in order to make informed choices about health and healthcare, but the current national clinical trials enterprise is not yet optimally configured for the efficient creation and dissemination of such evidence. However, new technologies and methods hold significant potential for accelerating the rate at which we are able to translate raw findings gathered from both patient care and clinical research into actionable knowledge. We are now entering a period in which the quantitative sciences are emerging as the critical disciplines for advancing knowledge about health and healthcare, and statisticians will increasingly serve as critical mediators in transforming data into evidence. In this new, data-centric era, biostatisticians not only need to be expert at analyzing data but should also be involved directly in diverse efforts, including the review and analysis of research portfolios in order to optimize the relevance of research questions, the use of "quality by design" principles to improve reliability and validity of each individual trial, and the mining of aggregate knowledge derived from the clinical research enterprise as a whole. In order to meet these challenges, it is imperative that we (1) nurture and build the biostatistical workforce, (2) develop a deeper understanding of the biological and clinical context among statisticians, (3) facilitate collaboration among biostatisticians and other members of the clinical trials enterprise, (4) focus on communication skills in training and education programs, and (5) enhance the quantitative capacity of the research and clinical practice worlds.
© The Author(s) 2016.

Entities:  

Keywords:  Biostatistics; clinical trial; electronic health record; evidence; pragmatic clinical trial; quality by design; randomization; statistics

Mesh:

Year:  2016        PMID: 27378791     DOI: 10.1177/1740774516656944

Source DB:  PubMed          Journal:  Clin Trials        ISSN: 1740-7745            Impact factor:   2.486


  4 in total

1.  Improving pragmatic clinical trial design using real-world data.

Authors:  Susan M Shortreed; Carolyn M Rutter; Andrea J Cook; Gregory E Simon
Journal:  Clin Trials       Date:  2019-03-13       Impact factor: 2.486

2.  The Predictive Individual Effect for Survival Data.

Authors:  Beat Neuenschwander; Satrajit Roychoudhury; Simon Wandel; Kannan Natarajan; Emmanuel Zuber
Journal:  Ther Innov Regul Sci       Date:  2022-03-16       Impact factor: 1.778

Review 3.  Factors influencing the statistical planning, design, conduct, analysis and reporting of trials in health care: A systematic review.

Authors:  Marina Zaki; Lydia O'Sullivan; Declan Devane; Ricardo Segurado; Eilish McAuliffe
Journal:  Contemp Clin Trials Commun       Date:  2022-01-29

4.  Blinding of study statisticians in clinical trials: a qualitative study in UK clinical trials units.

Authors:  Mais Iflaifel; Christopher Partlett; Jennifer Bell; Andrew Cook; Carrol Gamble; Steven Julious; Edmund Juszczak; Louise Linsell; Alan Montgomery; Kirsty Sprange
Journal:  Trials       Date:  2022-06-27       Impact factor: 2.728

  4 in total

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