Analise categórica para dados de HIV : com enfoque teórico e computacional no R-project

Abstract

The Acquired Immune Deficiency Syndrome (AIDS) is a disease currently much discussed, that has been spreading around the world and becoming a problem for public health. The first notifications about AIDS in Brazil occurred in the decade of 80. This study aims to employ categorical analysis for AIDS data through demonstration of free software commands R Project to assist the public who works with biostatistical data. The database used in this study is available in the software itself with eight variables in total 2139 gay adult patients infected with AIDS and real data analysis we used the available bank’s website in government DATASET whose source belongs to the IBGE and the Ministry of Health, the variable used was the death rate per 100,000 inhabitants for men and women of the Brazilian Northeastern states from 1990 to 2009. He was employed in data exploratory data analysis, hypothesis testing as the Chi-square and the exact test Fisher, the logistic regression model was applied the Wald test as the categorical analysis of qualitative variables, and walkthrough in developing a software tutorial A. It was observed that the R Project can be an alternative to analysis to professionals biology and health, since analysis of categorical data is implemented in software R making it one of the software’s use of the advantages and completely free. And it was found by modeling the categorical analysis, there was a decrease in HIV deaths in the states of the Northeast.