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Application of regularized regressions to identify novel predictors in clinical research

Record Type:	Electronic resources : Monograph/item
Title/Author:	Application of regularized regressions to identify novel predictors in clinical researchby Ton J. Cleophas, Aeilko H. Zwinderman.
Author:	Cleophas, Ton J. M.
other author:	Zwinderman, Aeilko H.
Published:	Cham :Springer Nature Switzerland :2024.
Description:	xiii, 273 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Regression analysis.
Online resource:	https://doi.org/10.1007/978-3-031-72247-9
ISBN:	9783031722479$q(electronic bk.)

Application of regularized regressions to identify novel predictors in clinical research
Cleophas, Ton J. M.

Application of regularized regressions to identify novel predictors in clinical research[electronic resource] /by Ton J. Cleophas, Aeilko H. Zwinderman. - Cham :Springer Nature Switzerland :2024. - xiii, 273 p. :ill., digital ;24 cm.

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.

ISBN: 9783031722479$q(electronic bk.)

Standard No.: 10.1007/978-3-031-72247-9doiSubjects--Topical Terms:

181872
Regression analysis.

LC Class. No.: QA278.2

Dewey Class. No.: 519.536

Application of regularized regressions to identify novel predictors in clinical research
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