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

Biology

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