Missing data handling in non-inferiority and equivalence trials: A systematic review.

Brooke A RabeSimon DayMallorie H FieroMelanie L Bell

Published in: Pharmaceutical statistics (2018)

Missing data are common in NI and equivalence trials, and they are often handled by methods which may bias estimates and lead to incorrect conclusions.

Keyphrases

electronic health record
big data
machine learning
deep learning
transition metal