Regression Analysis in Medical Research: For Starters and 2nd Levelers

ISBN-13: 9783030613938 / Angielski / Twarda / 2021 / 475 str.

Ton J. Cleophas; Aeilko H. Zwinderman

Spis treści

Preface

Chapter 1.                                                                                                                           

Continuous Outcome Regressions                                                                

 

Chapter 2.                                                                                                                           

Dichotomous Outcome Regressions

 

Chapter 3.                                                                                                                           

Confirmative Regressions                                                                                              

 

Chapter 4.                                                                                                                           

Dichotomous Regressions Other than Logistic and Cox

 

Chapter 5.                                                                                                                           

Polytomous Outcome Regressions                                                                               

 

Chapter 6.                                                                                                                                                           

Time to Event Regressions other than Traditional Cox

 

Chapter 7.                                                                                                                           

Analysis of Variance (ANOVA)

 

Chapter 8.                                                                                                                           

Repeated Outcomes Regression Methods

 

Chapter 9.                                                                                                                           

Methodologies for Better Fit of Categorical Predictors

 

Chapter 10.                                                                                                                         

Laplace Regressions, Multi- instead of Mono-Exponential Models

 

Chapter 11.                                                                                                                         

Regressions For Making Extrapolations.                                                                   

 

Chapter 12.                                                                                                                         

Standardized Regression Coefficients

 

Chapter 13.                                                                                                                         

Multivariate Analysis of Variance and Canonical Regression

 

Chapter 14.                                                                                                                         

More on Poisson Regressions

 

Chapter 15.                                                                                                                         

Regression Trend Testing

 

Chapter 16.                                                                                                                         

Optimal Scaling and Automatic Linear Regression

 

Chapter 17.                                                                                                                         

Spline Regressions

 

Chapter 18.                                                                                                                         

More on Nonlinear Regressions

 

Chapter 19.                                                                                                         

Special Forms of Continuous Outcome Regressions

Chapter 20.                                                                                                                         

Regressions for Quantitative Diagnostic Testing

 

Chapter 21.                                                                                                                         

Regressions, a Panacee or at Least a Widespread Help for Data Analyses

 

Chapter 22.                                                                                                                         

Regression Trees

 

Chapter 23.                                                                                                                         

Regressions with Latent Variables

 

Chapter 24.                                                                                                                         

Partial Correlations

 

Chapter 25.                                                                                                                         

Functional Data Analysis Basis

 

Chapter 26.                                                                                                                         

Functional Data Analysis Advanced

 

Chapter 27.                                                                                                                         

Quantile Regression

 

Index                                                                                                                                                                                                                                                                                     

 

O autorze

The authors are well-qualified in their field. Professor Zwinderman is past-president of the International Society of Biostatistics (2012-2015), and Professor Cleophas is past-president of the American College of Angiology (2000-2002). 

Professor Zwinderman is one of the Principle Investigators of the Academic Medical Center Amsterdam, and his research is concerned with developing statistical methods for new research designs in biomedical science, particularly integrating omics data, like genomics, proteomics, metabolomics, and analysis tools based on parallel computing and the use of cluster computers and grid computing.   

Professor Cleophas is a member of the Academic Committee of the European College of Pharmaceutical Medicine, that provides, on behalf of 22 European Universities, the Master-ship trainings  "Pharmaceutical Medicine" and "Medicines Development".  

From their expertise they should be able to make adequate selections of modern methods for clinical data analysis for the benefit of physicians, students, and investigators. The authors have been working and publishing together for 18 years, and their research can be characterized as a continued effort to demonstrate that clinical data analysis is not mathematics but rather a discipline at the interface of biology and mathematics.

The authors as professors and teachers in statistics at universities in The Netherlands and France for the most part of their lives, are concerned, that their students find regression-analyses harder than any other methodology in statistics. This is serious, because almost all of the novel methodologies in current data mining and data analysis include elements of regression-analysis, and they do hope that the current production "Regression Analysis for Starters and 2nd Levelers" will be a helpful companion for the purpose.

 

Five textbooks complementary to the current production and written by the same authors are 

Statistics applied to clinical studies 5th edition, 2012, 

Machine learning in medicine a complete overview, 2015, 

SPSS for starters and 2nd levelers 2nd edition, 2015, 

Clinical data analysis on a pocket calculator 2nd edition, 2016, 

Modern Meta-analysis, 2017, 

Regression Analysis in Medical Research, 2018, 

Modern Bayesian Statistics in Clinical Research, 2018, 

Analysis of Safety Data of Drug Trials, 2019,

Efficacy Analysis in Clinical Trials, 2019 
All published by Springer

 

Blurb

Regression analysis of cause effect relationships is increasingly the core of medical and health research. This work is a 2nd edition of a 2017 pretty complete textbook and tutorial for students as well as recollection / update bench and help desk for professionals.

It came to the authors' attention, that information of history, background, and purposes, of the regression methods addressed were scanty. Lacking information about all of that has now been entirely covered.

The editorial art work of the first edition, however pretty, was less appreciated by some readerships, than were the original output sheets from the statistical programs as used. Therefore, the editorial art work has now been systematically replaced with original statistical software tables and graphs for the benefit of an improved usage and understanding of the methods.

In the past few years, professionals have been flooded with big data. The Covid-19 pandemic gave cause for statistical software companies to foster novel analytic programs better accounting outliers and skewness. Novel fields of regression analysis adequate for such data, like sparse canonical regressions and quantile regressions, have been included.