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Nomogram construction to predict dyslipidemia based on a logistic regression analysis.
- Source :
-
Journal of Applied Statistics . Apr2020, Vol. 47 Issue 5, p914-926. 13p. 2 Diagrams, 2 Charts, 3 Graphs. - Publication Year :
- 2020
-
Abstract
- Dyslipidemia is a chronic disease requiring continuous management and is a well-known risk factor for cardiovascular diseases as well as hypertension and diabetes. However, no studies have so far visualized and predicted the probability of dyslipidemia. Hence, this study proposes a nomogram based on a logistic regression model that can visualize its risk factors and predict the probability of developing dyslipidemia. Twelve risk factors for dyslipidemia are identified through a chi-squared test. We then conduct a logistic regression analysis with two interaction variables to obtain a model and build a nomogram for dyslipidemia. Finally, we verify the constructed nomogram using a receiver operation characteristic curve and calibration plot. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02664763
- Volume :
- 47
- Issue :
- 5
- Database :
- Academic Search Index
- Journal :
- Journal of Applied Statistics
- Publication Type :
- Academic Journal
- Accession number :
- 142800128
- Full Text :
- https://doi.org/10.1080/02664763.2019.1660760