Enrollment Forecast for Clinical Trials at the Planning Phase with Study-Level Historical Data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Pharmacology (medical),Public Health, Environmental and Occupational Health,Pharmacology, Toxicology and Pharmaceutics (miscellaneous)
Link
https://link.springer.com/content/pdf/10.1007/s43441-023-00564-8.pdf
Reference13 articles.
1. Anisimov VV. Discussion on the paper real-time prediction of clinical trial enrollment and event counts: a review. Contemp Clinical Trials. 2016;46:7–10.
2. Heitjan DF, Ge Z, Ying SG. Real-time prediction of clinical trial enrollment and event counts: a review. Contemp Clin Trials. 2015;45:26–33. https://doi.org/10.1016/j.cct.2015.07.010.
3. Bagiella E, Heitjan DF. Predicting analysis times in randomized clinical trials. Statist Med. 2001;20(14):2055–63. https://doi.org/10.1002/sim.843.
4. Anisimov VV, Fedorov VV. Modelling, prediction and adaptive adjustment of recruitment in multicentre trials. Statist Med. 2007;26(27):4958–75. https://doi.org/10.1002/sim.2956.
5. Anisimov VV. Modern analytic techniques for predictive modeling of clinical trial operations. London: Springer; 2020. pp. 361–408.
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