Prediction of clinical trial enrollment rates
Clinical trials represent a critical milestone of translational and clinical sciences. However, poor recruitment to clinical trials has been a long standing problem affecting institutions all over the world. One way to reduce the cost incurred by insufficient enrollment is to minimize initiating tri...
Main Authors: | Cameron Bieganek, Constantin Aliferis, Sisi Ma |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2022-01-01
|
Series: | PLoS ONE |
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8870517/?tool=EBI |
Similar Items
-
Prediction of clinical trial enrollment rates.
by: Cameron Bieganek, et al.
Published: (2022-01-01) -
Machine learning methods to predict child posttraumatic stress: a proof of concept study
by: Glenn N. Saxe, et al.
Published: (2017-07-01) -
Parameters and indicators selection of clinical centers in predicting the patients enrollment for clinical trials
by: Svyatoslav S. Milovanov
Published: (2023-12-01) -
Behavioral Economic Strategies to Improve Enrollment Rates in Clinical Research: Embedded Recruitment Pilot Trial
by: Brittney Greene, et al.
Published: (2023-07-01) -
Predicting enrollment performance of investigational centers in phase III multi-center clinical trials
by: Rutger M. van den Bor, et al.
Published: (2017-09-01)