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A systematic review describes models for recruitment prediction at the design stage of a clinical trial

Author
Gkioni, E.; Rius, R.; Dodd, S.; Gamble, C.
Type of activity
Journal article
Journal
Journal of clinical epidemiology
Date of publication
2019-11-01
Volume
115
First page
141
Last page
149
DOI
10.1016/j.jclinepi.2019.07.002
Project funding
Methods in research on research
URL
https://www.jclinepi.com/article/S0895-4356(19)30037-X/fulltext Open in new window
Abstract
Patient recruitment in clinical trials is challenging with failure to recruit to time and target sample size common. This may be caused by unanticipated problems or by overestimation of the recruitment rate. This study is a systematic review of statistical models to predict recruitment at the design stage of clinical trials
Keywords
Clinical trials, Design stage, Recruitment prediction, Statistical models
Group of research
GRBIO - Biostatistics and Bioinformatics Research Group

Participants

  • Gkioni, Efstathia  (author)
  • Rius Carrasco, Roser  (author)
  • Dodd, Susanna  (author)
  • Gamble, Carrol  (author)