Modified Quantile Regression for Modeling the Low Birth Weight

This study aims to identify the best model of low birth weight by applying and comparing several methods based on quantile regression method's modification. The data is violated with linear assumptions; thus, approaches are used. adjusted combining it Bayesian approach since method can produce in small size samples. Three kinds modified considered here regression, Lasso Adaptive regression. article implements skewed Laplace distribution as likelihood function analysis. cross-sectional collected primary 150 weights West Sumatera, Indonesia. indicated that performed well compared other two a smaller absolute bias shorter credible interval simulation study. also found significantly affected maternal education, number pregnancy problems, parity.