Comparison between Robust and Classical Analysis in Bivariate Logisticfor Medical Data

Journal of Biometrics & Biostatistics

article

Fadhil Abdul Abbas Al-Abidy¹ 

[1] Department of Statistics, Al-Furat Al-Awast Technical University

关键词: Bivariate logistic;    Robust analysis;    Logistic regression;    Binary regression;   

DOI  :  10.4172/2155-6180.1000262

来源: Hilaris Publisher

【 摘 要 】

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.

【 授权许可】

Unknown