Daphna Harel is an applied statistician who studies issues of measurement in the applied health sciences. Her research focuses on modeling challenges for data arising from self-reported questionnaires and crowdsourcing. Her methodological work focuses on the creation of theoretically justified guidelines for statistical analysis and issues of model misspecification in polytomous Item Response Theory. Harel received her PhD from the Department of Mathematics and Statistics at McGill University.
Position: Assistant Professor of Applied Statistics
Institution / Affiliation : New York University
Methodology: Statistics, Survey Methodology