Modeling the Proportion of Tuberculosis Cases in South Sulawesi using Sparse Least Trimmed Squares
نویسندگان
چکیده
The deadliest infectious disease in Indonesia is tuberculosis (TB), and South Sulawesi one of the provinces that contributed most cases 2018 with 84 per 100,000 population. This study aims to identify variables could explain proportion TB Sulawesi. data used has many explanatory variables, there are outliers. Sparse Least Trimmed Squares (LTS) analysis can be handle resulting sparse LTS model successfully selects shrinks 14 only. In addition, based on value R2 RMSE for evaluation, shows satisfying results rather than classical LASSO. government focus these factors if they want reduce
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ژورنال
عنوان ژورنال: Eksakta
سال: 2022
ISSN: ['2720-9326']
DOI: https://doi.org/10.20885/eksakta.vol3.iss2.art6