The PyMLR module includes the following main Python functions to facilitate the use of sklearn, XGBoost, CatBoost, LightGBM, statsmodels, shap, and optuna solvers for linear and logistic regression: ...

Objectives: A matched case-control study was carried out to evaluate biological risk indicators for recurrent non-specific low back pain in adolescents. Methods: Adolescents with recurrent ...

Two models were tested by stepwise logistic regression using variables that attained P values of ≥.1 from either (univariate) Chi-square or t tests.

This project consists of a deep dive on multiple linear regression (OLS) and its regularized variants (Ridge, the Lasso, and the Elastic Net) as well as Python implementations for exploratory data ...