Application of Regularized Regressions to Identify Novel Predictors in Clinical Research
Application of Regularized Regressions to Identify Novel Predictors in Clinical Research
Zwinderman, Aeilko H.; Cleophas, Ton J.
Springer International Publishing AG
01/2025
268
Dura
9783031722462
Pré-lançamento - envio 15 a 20 dias após a sua edição
.- Optimal Scaling, Discretization, and Regularization vs Traditional Linear Regression.
.- Regularized Regression Analysis, Ridge, Lasso, Elastic Net Regression Coefficients.
.- Effect of Predictors on Health Scores, 110 Patients, Traditional vs Regularized Regressions.
.- Effect on Physical strength of Races, 60 Patients, Traditional Regression vs Regularized regressions.
.- Effects of Genetic Polymorphisms on Clinical Outcomes, 250 Patients, Traditional vs Regularized Regressions.
.- Effect of Old Treatment and Age on New Treatment, 35 Patients, Traditional vs Regularized Regressions.
.- Effect on Paroxysmal Atrial Fibrillations of Four Predictors, 50 Patients, Traditional vs Regularized Regressions.
.- Effect of Air Quality of Operating Rooms on Infections, 8 Operating Rooms, Traditional vs Regularized Regressions.
.- Effect on Weightloss of Age, Calorieintake, Exercise, Interaction, 64 Patients, Traditional vs Regularized Regressions.
.- Effect on Body Surface Measured of Gender, Age, Weight, Height, and Weight x Height Interaction, 90 Patients, Traditional vs Regularized Regressions.
.- Effect on Paroxysmal Atrial Fibrillations of Gender, Treatment and Their Interaction, 40 Patients, Traditional vs Regularized Regressions.
.- Effect on Hours of Sleep of Treatment Group, Age, Gender, Comorbidity, 20 Patients, Traditional vs Regularized Regressions.
.- Effect of Betaagonist and Prednisone on Peak Expiratory Flow, 78 COPD Patients, Traditional vs Regularized Regressions.
.- Effect on LDL Cholesterol Reduction of Five Predictors, 953 Patients, Traditional vs Regularized Regressions.
.- Effect of Five Factors on Body Weight, 217 Patients, Traditional vs Regularized Regressions.
.- Functional Data Analysis and Regularized Regressions.
.- Optimal Scaling, Discretization, and Regularization vs Traditional Linear Regression.
.- Regularized Regression Analysis, Ridge, Lasso, Elastic Net Regression Coefficients.
.- Effect of Predictors on Health Scores, 110 Patients, Traditional vs Regularized Regressions.
.- Effect on Physical strength of Races, 60 Patients, Traditional Regression vs Regularized regressions.
.- Effects of Genetic Polymorphisms on Clinical Outcomes, 250 Patients, Traditional vs Regularized Regressions.
.- Effect of Old Treatment and Age on New Treatment, 35 Patients, Traditional vs Regularized Regressions.
.- Effect on Paroxysmal Atrial Fibrillations of Four Predictors, 50 Patients, Traditional vs Regularized Regressions.
.- Effect of Air Quality of Operating Rooms on Infections, 8 Operating Rooms, Traditional vs Regularized Regressions.
.- Effect on Weightloss of Age, Calorieintake, Exercise, Interaction, 64 Patients, Traditional vs Regularized Regressions.
.- Effect on Body Surface Measured of Gender, Age, Weight, Height, and Weight x Height Interaction, 90 Patients, Traditional vs Regularized Regressions.
.- Effect on Paroxysmal Atrial Fibrillations of Gender, Treatment and Their Interaction, 40 Patients, Traditional vs Regularized Regressions.
.- Effect on Hours of Sleep of Treatment Group, Age, Gender, Comorbidity, 20 Patients, Traditional vs Regularized Regressions.
.- Effect of Betaagonist and Prednisone on Peak Expiratory Flow, 78 COPD Patients, Traditional vs Regularized Regressions.
.- Effect on LDL Cholesterol Reduction of Five Predictors, 953 Patients, Traditional vs Regularized Regressions.
.- Effect of Five Factors on Body Weight, 217 Patients, Traditional vs Regularized Regressions.
.- Functional Data Analysis and Regularized Regressions.