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. art...

The proliferation of data collection technologies often results in large sets with many observations and variables. In practice, highly relevant engineered features are groups predictors that share a common regression coefficient (i.e., the group affect response only via their collective sum), where unknown advance must be discovered from data. We propose an algorithm called tree (CTR) to disco...

Recurrent event time data and more general multiple are commonly analyzed using extensions of Cox regression, or proportional hazards as used with single data. These methods treat covariates, either time-invariant time-varying, having multiplicative effects while dependence on is left un-estimated. An adaptive approach formulated for analyzing Conditional hazard rates modeled in terms both cova...