Comparison of Nearest Neighbor and Caliper Algorithms in Outcome Propensity Score Matching to Study the Relationship between Type 2 Diabetes and Coronary Artery Disease

Comparison of Nearest Neighbor and Caliper Algorithms in Outcome Propensity Score Matching to Study the Relationship between Type 2 Diabetes and Coronary Artery Disease

Introduction: Propensity score matching (PSM) is a method to reduce the impact of essential and confounders. When the number of confounders is high, there may be a problem of matching, in which, finding matched pairs for the case group is difficult, or impossible. The propensity score (PS) minimizes...

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Bibliographic Details
Main Authors: Sara Sabbaghian Tousi, Hamed Tabesh, Azadeh Saki, Ali Tagipour, Mohammad Tajfard
Format: Article
Language:English
Published: Tehran University of Medical Sciences 2021-10-01
Series:Journal of Biostatistics and Epidemiology
Subjects:
propensity score matching
caliper algorithm
nearest neighbor algorithm
diabetes
coronary artery disease.
Online Access:https://jbe.tums.ac.ir/index.php/jbe/article/view/497

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