IRB Process Improvements: A Machine Learning Analysis

IRB Process Improvements: A Machine Learning Analysis

Objective Clinical research involving humans is critically important, but it is a lengthy and expensive process. Most studies require institutional review board (IRB) approval. Our objective is to identify predictors of delays or accelerations in the IRB r...

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Bibliographic Details
Main Authors: Kimberly Shoenbill, Yiqiang Song, Nichelle L. Cobb, Marc K. Drezner, Eneida A. Mendonca
Format: Article
Language:English
Published: Cambridge University Press 2017-06-01
Series:Journal of Clinical and Translational Science
Subjects:
IRB
Institutional Review Board
Ethics Committees
machine learning
process improvement
Online Access:https://www.cambridge.org/core/product/identifier/S205986611600025X/type/journal_article

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