ANALISIS REGRESI COUNT DATA UNTUK PEMODELAN JUMLAH KASUS PENYAKIT TUBERKULOSIS DI KABUPATEN BANYUMAS

Tuberculosis is an infectious disease caused by Mycobacterium tuberculosis. Banyumas Regency one of the districts with quite high cases in Central Java. This study aims to analyze factors that affect number tuberculosis using regression analysis count data. Poisson simplest data model has assumption equidispersion, is, mean value equal variance. However, its application, these often not fulfilled, for example, there are overdispersion (variance greater than mean). In this study, overcome case overdispersion, approach was used Generalized Regression (GPR) and negative binomial regression. The results showed on 2019 overdispersion. modeling better GPR model. Meanwhile, only predictor variable affects sex ratio productive age (15-49 years).