Dealing With Sparse Data Bias in Medical Sciences: Comprehensive Review of Methods and Applications

This study aims to illustrate the problem of (Quasi) Complete Separation in the sparse data pattern occurring medical data. We presented the failure of traditional methods and then provided an overview of popular remedial approaches to reduce bias through vivid examples. Penalized maximum likelihoo...

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Bibliographic Details
Main Authors: Mohammad Hossein Panahi, Kazem Mohammad, Razieh Bidhendi Yarandi, Fahimeh Ramezani Tehrani
Format: Article
Language:English
Published: Tehran University of Medical Sciences 2021-01-01
Series:Acta Medica Iranica
Subjects:
Online Access:https://acta.tums.ac.ir/index.php/acta/article/view/8564