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

© 2019 Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0
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
The authors would like to thank Ms Van Nguyen Thu, PhD candidate, on the MiRoR project, and Professor Isabelle Boutron, Paris Descartes University, for their help in reviewing the manuscript before submission. This project is part of the MiRoR (Methods in Research on Research) Joint Doctoral Training Programme. The authors would like to acknowledge the MiRoR network for their support and guidance. The European Union's Horizon 2020 Marie Sklodowska Curie Innovative Training Networks–European Joint Doctorate (ITN-EJD) under grant agreement No. 676207, fund MiRoR.
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