Biostatistics for Clinical and Public Health Research
eBook - ePub

Biostatistics for Clinical and Public Health Research

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

Biostatistics for Clinical and Public Health Research

About this book

The new edition of Biostatistics for Clinical and Public Health Research is an introductory workbook to provide not only a concise overview of key statistical concepts but also step-by-step guidance on how to apply these through a range of software packages, including R, SAS, and Stata.

Providing a comprehensive survey of essential topics – including probability, diagnostic testing, probability distributions, estimation, hypothesis testing, correlation, regression, and survival analysis – each chapter features a detailed summary of the topic at hand, followed by examples to show readers how to conduct analysis and interpret the results. Also including exercises and solutions, case studies, take-away points, and data sets (Excel, SAS, and Stata formats), the new edition now includes a chapter on data literacy and data ethics, as well as examples drawn from the COVID-19 pandemic.

Ideally suited to accompany either a course or as support for independent study, this book will be an invaluable tool for both students of biostatistics and clinical or public health practitioners.

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Yes, you can access Biostatistics for Clinical and Public Health Research by Melody S. Goodman in PDF and/or ePUB format, as well as other popular books in Medicine & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Routledge
Year
2025
eBook ISBN
9781040399699
Topic
Medicine
Subtopic
Probability & Statistics

Table of contents

  1. Cover Page
  2. Half Title page
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. Contents
  7. Figures
  8. Tables
  9. Acknowledgments
  10. Introduction
  11. 1 Descriptive Statistics
  12. Lab A1 Introduction to R/RStudio
  13. Lab A2 Introduction to SAS
  14. Lab A3 Introduction to Stata
  15. 2 Probability
  16. 3 Diagnostic Testing
  17. 4 Discrete Probability Distributions
  18. 5 Continuous Probability Distributions
  19. Lab B Probability Distributions
  20. 6 Estimation
  21. 7 One-Sample Hypothesis Testing
  22. Lab C One-Sample Hypothesis Testing Including Power and Sample Size
  23. 8 Two-Sample Hypothesis Testing
  24. 9 Nonparametric Hypothesis Testing
  25. Lab D Two-Sample Hypothesis Testing and Nonparametric Methods
  26. 10 Hypothesis Testing for Categorical Data
  27. 11 One-Way Analysis of Variance (ANOVA)
  28. 12 Correlation
  29. 13 Linear Regression
  30. 14 Logistic Regression
  31. 15 Survival Analysis
  32. Lab E: Data Analysis Project
  33. 16 The Importance of Data Literacy and Data Ethics
  34. Index