Causal inference in visual identification: Integrating models, experimental paradigms, and behavioral measures
Causal inference in visual identification: Integrating models, experimental paradigms, and behavioral measures
Discipline
Psychology
Funder
National Science Foundation (NSF)
Field
Natural Sciences
Organization
UC San Diego; Working Group on NIH DMSP Guidance
Location
United States
Description
This DMP collects patient data (demographics, accuracy, and reaction time for experimental tests, and results from computer model simulations) to ascertain the impact of causal inference in visual identification.
Date Last Modified
N/A
Keywords
humans
MATLAB
de-identification