Predicting enrollment performance of investigational centers in phase III multi-center clinical trials-Reference-Cited by-同舟云学术

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Predicting enrollment performance of investigational centers in phase III multi-center clinical trials

Published:2017-09 Issue: Volume:7 Page:208-216
ISSN:2451-8654
Container-title:Contemporary Clinical Trials Communications
language:en
Short-container-title:Contemporary Clinical Trials Communications

Author:

van den Bor Rutger M.,Grobbee Diederick E.,Oosterman Bas J.,Vaessen Petrus W.J.,Roes Kit C.B.

Funder

Julius Clinical Ltd., an Academic Research Organization

Publisher

Elsevier BV

Subject

Pharmacology,General Medicine

Reference22 articles.

1. Oncologists' reluctance to accrue patients onto clinical trials: an Illinois cancer center study;Benson;J. Clin. Oncol.,1991

2. A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria;R Core Team,2016

3. A comparison of the quality of data, assessed using query rates, from clinical trials conducted across developed versus emerging global regions;Desai;Drug Inf. J.,2012

4. For the ProtecT Study Group. Who can best recruit to randomized trials? Randomized trial comparing surgeons and nurses recruiting patients to a trial of treatments for localized prostate cancer (the ProtecT study);Donovan;J. Clin. Epidemiol.,2003

5. Improving the recruitment activity of clinicians in randomized controlled trials: a systematic review;Fletcher;BMJ Open,2012

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