Using systematic data categorisation to quantify the types of data collected in clinical trials: the DataCat project-Reference-Cited by-同舟云学术

Using systematic data categorisation to quantify the types of data collected in clinical trials: the DataCat project

Published:2020-06-16 Issue:1 Volume:21 Page:
ISSN:1745-6215
Container-title:Trials
language:en
Short-container-title:Trials

Author:

Crowley Evelyn,Treweek Shaun^ORCID,Banister Katie,Breeman Suzanne,Constable Lynda,Cotton Seonaidh,Duncan Anne,El Feky Adel,Gardner Heidi,Goodman Kirsteen,Lanz Doris,McDonald Alison,Ogburn Emma,Starr Kath,Stevens Natasha,Valente Marie,Fernie Gordon

Publisher

Springer Science and Business Media LLC

Subject

Pharmacology (medical),Medicine (miscellaneous)

Link

http://link.springer.com/content/pdf/10.1186/s13063-020-04388-x.pdf

Reference19 articles.

1. Friedman L, Furberg C, DeMets D. Data collection and quality control. Fundamentals of clinical trials. New York: Springer; 2010. p. 199–214.

2. Moher D, Hopewell S, Schulz KF, Montori V, Gøtzsche PC, Devereaux PJ, Elborne D, Egger M, Altman DG. CONSORT 2010 Explanation and Elaboration: updated guidelines for reporting parallel group randomised trials. BMJ. 2010;340:c869.

3. Getz KA, Stergiopoulos S, Marlborough M, Whitehill J, Curran M, Kaitin KI. Quantifying the magnitude and cost of collecting extraneous protocol data. Am J Ther. 2015;22:117–24.

4. Getz K. Improving protocol design feasibility to drive drug development economics and performance. Int J Environ Res Public Health. 2014;11:5069–80.

5. Al-Shahi Salman R, Beller E, Kagan J, Hemminki E, Phillips RS, Savulescu J, Macleod M, Wisely J, Chalmers I. Increasing value and reducing waste in biomedical research regulation and management. Lancet. 2014;383:176–85.

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