Biostatistics for Clinical and Public Health Research
eBook - ePub

Biostatistics for Clinical and Public Health Research

Melody S. Goodman

  1. 558 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Biostatistics for Clinical and Public Health Research

Melody S. Goodman

Book details
Table of contents
Citations

About This Book

Biostatistics for Clinical and Public Health Research provides a concise overview of statistical analysis methods. Use of SAS and Stata statistical software is illustrated in full, including how to interpret results.

Focusing on statistical models without all the theory, the book is complete with exercises, case studies, take-away points, and data sets. Readers will be able to maximize their statistical abilities in hypothesis testing, data interpretation, and application while also learning when and how to consult a biostatistician.

This book will be an invaluable tool for students and clinical and public health practitioners.

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Information

Publisher
Routledge
Year
2017
ISBN
9781351651714
Edition
1
Topic
Medicine
Subtopic
Public Health, Administration & Care

Table of contents

  1. Cover
  2. Half Title Page
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. Contents
  7. Acknowledgments
  8. Author
  9. Introduction
  10. Chapter 1 Descriptive statistics
  11. Lab A: Introduction to SASĀ®
  12. Lab A: Introduction to StataĀ®
  13. Chapter 2 Probability
  14. Chapter 3 Diagnostic testing/screening
  15. Chapter 4 Discrete probability distributions
  16. Chapter 5 Continuous probability distributions
  17. Lab B: Probability distributions
  18. Chapter 6 Estimation
  19. Chapter 7 One-sample hypothesis testing
  20. Lab C: One-sample hypothesis testing, power, and sample size
  21. Chapter 8 Two-Sample Hypothesis Testing
  22. Chapter 9 Nonparametric hypothesis testing
  23. Lab D: Two-sample (parametric and nonparametric) hypothesis testing
  24. Chapter 10 Hypothesis testing with categorical data
  25. Chapter 11 Analysis of variance (ANOVA)
  26. Chapter 12 Correlation
  27. Chapter 13 Linear regression
  28. Chapter 14 Logistic regression
  29. Chapter 15 Survival analysis
  30. Lab E: Data analysis project
  31. AppendixStatistical tables
  32. Index