- 559 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Applied Medical Statistics Using SAS
About this book
Written with medical statisticians and medical researchers in mind, this intermediate-level reference explores the use of SAS for analyzing medical data. Applied Medical Statistics Using SAS covers the whole range of modern statistical methods used in the analysis of medical data, including regression, analysis of variance and covariance, longitudi
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Yes, you can access Applied Medical Statistics Using SAS by Geoff Der,Brian S. Everitt in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Front Cover
- Applied Medical Statistics Using SAS
- Copyright
- Table of Contents
- Preface
- The Authors
- 1. An Introduction to SAS
- 2. Statistics and Measurement in Medicine
- 3. Clinical Trials
- 4. Epidemiology
- 5. Meta-Analysis
- 6. Analysis of Variance and Covariance
- 7. Scatter Plots, Correlation, Simple Regression, and Smoothing
- 8. Multiple Linear Regression
- 9. Logistic Regression
- 10. Generalised Linear Model
- 11. Generalised Additive Models
- 12 Analysis of Longitudinal Data I
- 13. Analysis of Longitudinal Data II: Linear Mixed-Effects Models for Normal Response Variables
- 14. Analysis of Longitudinal Data III: Non-Normal Responses
- 15. Survival Analysis
- 16. Cox’s Proportional Hazards Models for Survival Data
- 17. Bayesian Methods
- 18. Missing Values
- References
- Back Cover