Biostatistics and Computer-based Analysis of Health Data Using SAS
eBook - ePub

Biostatistics and Computer-based Analysis of Health Data Using SAS

  1. 174 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Biostatistics and Computer-based Analysis of Health Data Using SAS

About this book

This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research.The use of SAS for data management and statistical modeling is illustrated using various examples. Many aspects of data processing and statistical analysis of cross-sectional and experimental medical data are covered, including regression models commonly found in medical statistics.This practical book is primarily intended for health researchers with a basic knowledge of statistical methodology. Assuming basic concepts, the authors focus on the practice of biostatistical methods essential to clinical research, epidemiology and analysis of biomedical data (including comparison of two groups, analysis of categorical data, ANOVA, linear and logistic regression, and survival analysis). The use of examples from clinical trials and epidemiological studies provide the basis for a series of practical exercises, which provide instruction and familiarize the reader with essential SAS commands.- Presents the use of SAS software in the statistical approach for the management of data modeling- Includes elements of the language and descriptive statistics- Supplies measures of association, comparison of means, and proportions for two or more samples- Explores linear and logistic regression- Provides survival data analysis

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Yes, you can access Biostatistics and Computer-based Analysis of Health Data Using SAS by Christophe Lalanne,Mounir Mesbah in PDF and/or ePUB format, as well as other popular books in Mathematics & Business Intelligence. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Introduction
  6. 1: Language Elements
  7. 2: Simple Descriptive Statistics
  8. 3: Measures of Association, Comparison of Means or Proportions
  9. 4: Correlation, Linear Regression
  10. 5: Logistic Regression
  11. 6: Survival Curves, Cox Regression
  12. Appendix A: Introduction to SAS Studio
  13. Appendix B: Introduction to SAS Macro
  14. Appendix C: Introduction to SAS IML
  15. Bibliography
  16. Index