On Regression Modeling of Human Immunodeficiency Virus Patients

Abstract

Problem statement: The main propose of this study was to evaluate the HIV patients for the period 1990-2008 depend on three variables age, gender and ethnicity. Approach: The data was analyzed using regression and correlation methods to get the mathematical model that explain the relationship and the effect between the age, gender and ethnicity. SSPS program V. 17.0 was used throughout this study to analyze the data and to generate the various Tables. Results: Using SPSS program to obtain regression models for each year in the period 1990-2008 depend on three variables age group, gender and ethnicity. Also obtained the relationship between all three variables in HIV patients using correlation methods. Conclusion: The age effect on gender and ethnicity in three years 1991, 2001 and 2002 are stronger than other years. In regression models, there exist significance effect between age and gender in two models, but there is no significance effect between age and ethnicity in all models. In correlation, there is no significance relationship between age and gender, age and ethnicity, ethnicity and genders in all years from 1990-2008.