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Author Vach, Werner
Title Regression Models As a Tool in Medical Research
Imprint Bosa Roca : CRC Press LLC, 2012
©2013
book jacket
Edition 1st ed
Descript 1 online resource (494 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Note Front Cover -- Dedication -- Contents -- Preface -- Acknowledgments -- About the Author -- Part I The Basics -- Chapter 1 Why Use Regression Models? -- Chapter 2 An Introductory Example -- Chapter 3 The Classical Multiple Regression Model -- Chapter 4 Adjusted Effects -- Chapter 5 Inference for the Classical Multiple Regression Model -- Chapter 6 Logistic Regression -- Chapter 7 Inference for the Logistic Regression Model -- Chapter 8 Categorical Covariates -- Chapter 9 Handling Ordered Categories: A First Lesson in Regression Modelling Strategies -- Chapter 10 The Cox Proportional Hazards Model -- Chapter 11 Common Pitfalls in Using Regression Models -- Part II Advanced Topics and Techniques -- Chapter 12 Some Useful Technicalities -- Chapter 13 Comparing Regression Coefficients -- Chapter 14 Power and Sample Size -- Chapter 15 Selection of the Sample -- Chapter 16 Selection of Covariates -- Chapter 17 Modelling Nonlinear Effects -- Chapter 18 Transformation of Covariates -- Chapter 19 Effect Modification and Interactions -- Chapter 20 Applying Regression Models to Clustered Data -- Chapter 21 Applying Regression Models to Longitudinal Data -- Chapter 22 The Impact of Measurement Error -- Chapter 23 The Impact of Incomplete Covariate Data -- Part III Risk Scores and Predictors -- Chapter 24 Risk Scores -- Chapter 25 Construction of Predictors -- Chapter 26 Evaluating the Predictive Performance -- Chapter 27 Outlook: Construction of Parsimonious Predictors -- Part IV Miscellaneous -- Chapter 28 Alternatives to Regression Modelling -- Chapter 29 Specific Regression Models -- Chapter 30 Specific Usages of Regression Models -- Chapter 31 What Is a Good Model? -- Chapter 32 Final Remarks on the Role of Prespecified Models and Model Development -- Part V Mathematical Details -- Appendix A Mathematics Behind the Classical Linear Regression Model
Appendix B Mathematics Behind the Logistic Regression Model -- Appendix C The Modern Way of Inference -- Appendix D Mathematics for Risk Scores and Predictors -- Bibliography -- Back Cover
"With its focus on conceptual understanding and practical applications, this book is highly recommended to medical and other health science researchers who desire to improve their understanding of regression analysis for a better understanding of medical literature, for the adequate presentation of their own regression outcomes, or for improved interpretation of their results for publications and presentations. … Additionally, this book can serve as supplemental reading for an applied graduate level course on general regression models."-Journal of Agricultural, Biological, and Environmental Statistics"The book can be a very helpful contribution especially for researchers in medical sciences when performing their statistical analyses and trying to interpret the results obtained. … This book provides plenty of practical knowledge about these basic models and also some of their extensions that is often not easy to find from statistical textbooks or from software manuals. The basic methods are well explained and illustrated by numerous practical examples, mainly using simulated datasets."-Tapio Nummi, International Statistical Review
Description based on publisher supplied metadata and other sources
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2020. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
Link Print version: Vach, Werner Regression Models As a Tool in Medical Research Bosa Roca : CRC Press LLC,c2012 9781466517486
Subject Medicine -- Research -- Statistical methods.;Regression analysis
Electronic books
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