Regression for Health and Social Science
eBook - PDF

Regression for Health and Social Science

Applied Linear Models with R

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Regression for Health and Social Science

Applied Linear Models with R

About this book

This textbook for students in the health and social sciences covers the basics of linear model methods with a minimum of mathematics, assuming only a pre-calculus background. Numerous examples drawn from the news and current events with an emphasis on health issues, illustrate the concepts in an immediately accessible way. Methods covered include linear regression models, Poisson regression, logistic regression, proportional hazards regression, survival analysis, and nonparametric regression. The author emphasizes interpretation of computer output in terms of the motivating example. All of the R code is provided and carefully explained, allowing readers to quickly apply the methods to their own data. Plenty of exercises help students think about the issues involved in the analysis and its interpretation. Code and datasets are available for download from the book's website at www.cambridge.org/zelterman

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Yes, you can access Regression for Health and Social Science by Daniel Zelterman in PDF and/or ePUB format, as well as other popular books in Medicine & Biostatistics. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Half-title
  3. Title page
  4. Copyright information
  5. Contents
  6. Preface
  7. Acknowledgments
  8. 1 Introduction
  9. 2 Principles of Statistics
  10. 3 Introduction to Linear Regression
  11. 4 Assessing the Regression
  12. 5 Multiple Regression and Diagnostics
  13. 6 Indicators, Interactions, and Transformations
  14. 7 Nonparametric Statistics
  15. 8 Logistic Regression
  16. 9 Diagnostics for Logistic Regression
  17. 10 Poisson Regression
  18. 11 Survival Analysis
  19. 12 Proportional Hazards Regression
  20. 13 Review of Methods
  21. Appendix Statistical Distributions
  22. Selected Solutions and Hints
  23. References
  24. Index