Roc curve analysis algorithm in biomedical research using SPSS software package
https://doi.org/10.52485/19986173_2021_1_148
Abstract
The aim of the research. The subject of the research was to study the basics of using ROC curve analysis, which allows to determine and compare the main indicators of information content of the studied diagnostic methods or tests. The research’s topic was ROC curve analysis in biomedical research. The aim of the study was to describe the ROC curve analysis algorithm in biomedical research using the SPSS software package.
Materials and methods. The scientific review of the possibilities of using ROC curve analysis in biomedical research is carried out. The practical basics of using ROC curve analysis to determine the sensitivity and specificity of the studied diagnostic methods or tests are considered on the example of the IBM SPSS Statistics Version 25.0 software package (International Business Machines Corporation, USA).
Results. The optimal algorithm for ROC curve analysis application in biomedical research have been determined. The possibilities of ROC curve analysis using in the SPSS program are described in detail, recommendations for the interpretation of the obtained analysis results are given.
Conclusion. The use of the described ROC curve analysis algorithm will improve a presentation’s level of biomedical research results.
About the Author
V. A. Mudrov
Chita State Medical Academy
Russian Federation
Russian Federation
Chita, 39А Gorky str., 672000
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Review
For citations:
Mudrov V.A. Roc curve analysis algorithm in biomedical research using SPSS software package. Transbaikalian Medical Bulletin. 2021;(1):148-153. (In Russ.) https://doi.org/10.52485/19986173_2021_1_148
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