Comparison between Robust and Classical Analysis in Bivariate Logistic for Medical Data
Fadhil Abdul AA*
Department of Statistics, Al-Furat Al-Awast Technical University, Iraq
- *Corresponding Author:
- Fadhil Abdul Abbas Al-Abidy
Department of Statistics
Al-Furat Al-Awast Technical University
General Street-Player city, Najaf, Iraq
E-mail: [email protected]
Received date: October 06, 2015; Accepted October 26, 2015; Published date: November 02, 2015
Citation: Fadhil Abdul AA (2015) Comparison between Robust and Classical Analysis in Bivariate Logistic for Medical Data. J Biom Biostat 6:262. doi:10.4172/2155-6180.1000262
Copyright: © 2015 Fadhil Abdul AA. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits
unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Representing medical data and biological important part in experiments are concerned with Human life, the primary objective of this research is to use the statistical optimization method analysis for the data and knowledge of the important factors affecting the variables of the study (liver fat, liver size), where the variables are interconnected there is a need for statistical method to examines the degree of their relationship, we used bivariate logistic. To achieve the of the research on the field study will be done in Al-Sadr medical city in the province of Najaf by taking a sample of 150 people auditors diabetes and liver disease center, from the statistical analysis results we observed the degree of diagnosis model in both method are good, and also we monitored that impact factors in responses (liver fat, liver size) and some comment as multivariate logistic in the Future.