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Robust bivariate logistic analysis of medical data
Joint Authors
Ubaydi, Fadil Abd al-Abbas
al-Harbi, Husayn Jasim Ubayd
Source
al-Kufa University Journal for Biology
Issue
Vol. 2017, Issue (s) (31 Dec. 2017), pp.1-8, 8 p.
Publisher
University of Kufa Faculty of Science Department of live Sciences
Publication Date
2017-12-31
Country of Publication
Iraq
No. of Pages
8
Main Subjects
Abstract EN
The primary task of medical data analysis is to explain relationship between variables of study (factors, responses), therefore this paper aims to spread the use of statistical analysis in the case of responses correlated prescription binary, we depended on medical experiment by using data as well as to test the efficiency of Robust analysis method in the case of abnormal (outlier case) values in the study variables, we reached in this paper that the robust method is efficient
American Psychological Association (APA)
Ubaydi, Fadil Abd al-Abbas& al-Harbi, Husayn Jasim Ubayd. 2017. Robust bivariate logistic analysis of medical data. al-Kufa University Journal for Biology،Vol. 2017, no. (s), pp.1-8.
https://search.emarefa.net/detail/BIM-786029
Modern Language Association (MLA)
Ubaydi, Fadil Abd al-Abbas& al-Harbi, Husayn Jasim Ubayd. Robust bivariate logistic analysis of medical data. al-Kufa University Journal for Biology No. (s) (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-786029
American Medical Association (AMA)
Ubaydi, Fadil Abd al-Abbas& al-Harbi, Husayn Jasim Ubayd. Robust bivariate logistic analysis of medical data. al-Kufa University Journal for Biology. 2017. Vol. 2017, no. (s), pp.1-8.
https://search.emarefa.net/detail/BIM-786029
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 8
Record ID
BIM-786029