Application of Regularized Regressions to Identify Novel Predictors in Clinical Research

Ton J. Cleophas is internist-clinical pharmacologist at the Department of Medicine Albert Schweitzer Hospital Dordrecht the Netherlands. He is also professor of Statistics and member of the Scientific Committee of the European College of Pharmaceutical Medicine Lyon France. He is particularly interested in machine learning methodologies and published many complete-overview-textbooks of the subject.Aeilko H. Zwinderman is professor of Statistics and Chair of the Department of Biostatistics and Epidemiology at the University of Amsterdam the Netherlands. His current work focuses on development and validation of multivariable models, particularly in genetic research, and he is a major developer of penalized canonical analysis.

• .- Basic Principles of Regression Analysis..- 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.