Grid Binary LOgistic REgression (GLORE): building shared models without sharing data
Grid Binary LOgistic REgression (GLORE): building shared models without sharing data
Objective The classification of complex or rare patterns in clinical and genomic data requires the availability of a large, labeled patient set. While methods that operate on large, centralized data sources have been extensively used, little attention has been paid to understanding whether models such as binary logistic regression (LR) …