• Home
  • Study Details
By physician referral or invitation only

Assessing trial methods using computational methods

The purpose of this study is to develop a natural language processing (NLP)-based software tool to identify information related to rigor and transparency from RCT reports. These tools will assist stakeholders of clinical research in maintaining high reporting standards, synthesizing information on methodological quality, and fostering open science practices.

Age & Gender

  • 21 years ~ 99 years
  • Male, Female

Contact the Team

Location

Thank you for your interest, but this study is recruiting by invitation only.

United States (Nationwide)

Additional Study Information

Principal Investigator

Evan Mayo-Wilson
Epidemiology

Study Type

Behavioral or Social
Observational

Study Topics

Healthy Volunteer or General Population

IRB Number

22-1910

Research for Me logo

Copyright © 2013-2022 The NC TraCS Institute, the integrated home of the NIH Clinical and Translational Science Awards (CTSA) Program at UNC-CH.  This website is made possible by CTSA Grant UL1TR002489 and the National Center for Advancing Translational Sciences.

Questions?

  • This email address is being protected from spambots. You need JavaScript enabled to view it.
logo for the North Carolina Translational and Clinical Sciences Institute
logo for UNC Health
logo for UNC School of Medicine
logo for UNC Research