^{ 1}Clinical Research Coordinating Center, Catholic Medical Center, The Catholic University of Korea, Seoul, Korea
^{ 2}Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea
^{ 3}Department of Endocrinology and Metabolism, College of Medicine, The Catholic University of Korea, Seoul, Korea
Copyright © 2020 Korean Society of Cardiovascular Disease Prevention; Korean Society of Cardiovascular Pharmacotherapy.
This is an openaccess article distributed under the terms of the Creative Commons Attribution NonCommercial License (http://creativecommons.org/licenses/bync/4.0/) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
^{}Conflict of Interest
The author has no financial conflicts of interest.
^{}Author Contributions
Conceptualization: Lee H, Kim HS; Formal analysis: Kim HS; Methodology: Lee H; Supervision: Kim HS; Writing  original draft: Lee H, Kim HS; Writing  review & editing: Lee H, Kim HS.
Exposed  Disease 


Yes  No  
Yes  A  B 
No  C  D 
Predicted  Observed 


Yes  No  
Yes  A  B 
No  C  D 
Assumptions 

1. Assumption of linearity: the relationship between mean value of outcome variable and independent variable is linear. 
2. Assumptions of normality: normality means that the test is normally distributed (or bellshaped) with 0 mean, 1 standard deviation, and a symmetric bellshaped curve. 
3. Assumption of homoscedasticity: homoscedasticity means the error term (or residuals) is the same across all values of the independent variables. 