Some issues in predicting patient recruitment in multi-centre clinical trials-Reference-Cited by-同舟云学术

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Some issues in predicting patient recruitment in multi-centre clinical trials

Published:2013-09-17 Issue:30 Volume:32 Page:5458-5468
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

Bakhshi Andisheh¹²,Senn Stephen¹³,Phillips Alan⁴

Affiliation:

1. School of Mathematics and Statistics; University of Glasgow; Glasgow G12 8QW U.K.

2. Department of Mathematics and Statistics; University of Strathclyde; Glasgow G1 1XH U.K.

3. Competence Center for Methodology and Statistics; CRP-Santé, 1a rue Thomas Edison; 1445 Strassen Luxembourg

4. ICON Clinical Research UK Ltd; 2 Globeside, Globeside Business Park; Marlow Buckinghamshire SL71TB U.K.

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/sim.5979/fullpdf

Reference28 articles.

1. Survey among 78 studies showed that Lasagna's law holds in Dutch primary care research;Wouden;Journal of Clinical Epidemiology,2007

2. Optimal design of clinical trials with computer simulation based on results of earlier trials, illustrated with a lipodystrophy trial in HIV patients;Abbas;Journal of Biomedical Informatics,2008

3. The “constant intake rate” assumption in interim recruitment goal methodology for multicenter clinical trials;Williford;Journal of Chronic Diseases,1987

4. Determinants of patient recruitment in a multicenter clinical trials group: trends, seasonality and the effect of large studies;Haidich;BMC Medical Research Methodology,2001

5. Practical considerations for estimating clinical trial accrual periods: application to a multi-center effectiveness study;Carter;BMC Medical Research Methodology,2005

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1. Optimizing Patient Recruitment in Global Clinical Trials using Nature-Inspired Metaheuristics;Statistics in Biopharmaceutical Research;2024-03-18

2. Enhancing site selection strategies in clinical trial recruitment using real-world data modeling;PLOS ONE;2024-03-11

3. A time‐dependent Poisson‐Gamma model for recruitment forecasting in multicenter studies;Statistics in Medicine;2023-07-25

4. An Analytic Methodology for Forecasting Patient Enrolment Performance in Multicentre Clinical Trials: Forecasting Patient Enrolment Performance in Clinical Trials;Proceedings of the 2023 6th International Conference on Mathematics and Statistics;2023-07-14

5. Modeling time‐varying recruitment rates in multicenter clinical trials;Biometrical Journal;2022-10-26

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