A first step towards best practice recommendations for the design and statistical analyses of pragmatic clinical trials: A modified Delphi approach-Reference-Cited by-同舟云学术

A first step towards best practice recommendations for the design and statistical analyses of pragmatic clinical trials: A modified Delphi approach

Published:2022-07 Issue:12 Volume:88 Page:5183-5201
ISSN:0306-5251
Container-title:British Journal of Clinical Pharmacology
language:en
Short-container-title:Brit J Clinical Pharma

Author:

Palin Victoria¹,Van Staa Tjeerd P.¹,Steels Stephanie²,Troxel Andrea B.³,Groenwold Rolf H. H.⁴,MacDonald Tom M.⁵,Torgerson David⁶,Faries Douglas⁷,Mancini Pierre⁸,Ouwens Mario⁹,Frith Lucy J.¹⁰,Tsirtsonis Kate¹¹,MacLennan Graham¹²,Nordon Clementine¹³^ORCID,

Affiliation:

1. Division of Informatics, Imaging & Data Sciences, Manchester Environmental Research Institute University of Manchester Manchester UK

2. Department of Social Care and Social Work Manchester Metropolitan University Manchester UK

3. Division of Biostatistics, Department of Population Health NYU Grossman School of Medicine New York USA

4. Department of Clinical Epidemiology Leiden University Medical Centre Leiden The Netherlands

5. MEMO Research University of Dundee, Ninewells Hospital & Medical School Dundee UK

6. Department of Health Sciences University of York York UK

7. Global Statistical Sciences, Eli Lilly & Co. Indianapolis IN USA

8. Sanofi R&D Chilly Mazarin France

9. AstraZeneca, KC6 Gothenburg Sweden

10. GlaxoSmithKline Brentford UK

11. Amgen Ltd Uxbridge UK

12. The Centre for Healthcare Randomised Trials University of Aberdeen Aberdeen UK

13. formally LASER Research, Paris, France; currently AstraZeneca Cambridge UK

Funder

Innovative Medicines Initiative

Publisher

Wiley

Subject

Pharmacology (medical),Pharmacology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/bcp.15441

Reference69 articles.

1. Improving the reporting of pragmatic trials: an extension of the CONSORT statement

2. Pragmatic Trials

3. A pragmatic–explanatory continuum indicator summary (PRECIS): a tool to help trial designers

4. The PRECIS-2 tool: designing trials that are fit for purpose

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