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Biostatistics by Example Using SAS Studio

Book Description

Learn how to solve basic statistical problems with Ron Cody's easy-to-follow style using the point-and-click SAS Studio tasks.

Aimed specifically at the health sciences, Biostatistics by Example Using SAS Studio, provides an introduction to SAS Studio tasks. The book includes many biological and health-related problem sets and is fully compatible with SAS University Edition.

After reading this book you will be able to understand temporary and permanent SAS data sets, and you will learn how to create them from various data sources. You will also be able to use SAS Studio statistics tasks to generate descriptive statistics for continuous and categorical data. The inferential statistics portion of the book covers the following topics:

  • paired and unpaired t tests
  • one-way analysis of variance
  • N-way ANOVA
  • correlation
  • simple and multiple regression
  • logistic regression
  • categorical data analysis
  • power and sample size calculations

Besides describing each of these statistical tests, the book also discusses the assumptions that need to be met before running and interpreting these tests. For two-sample tests and N-way tests, nonparametric tests are also described.

This book leads you step-by-step through each of the statistical tests with numerous screen shots, and you will see how to read and interpret all of the output generated by these tests.

Experience with some basic statistical tests used to analyze medical data or classroom experience in biostatistics or statistics is required. Although the examples are related to the medical and biology fields, researchers in other fields such as psychology or education will find this book helpful. No programming experience is required.

Loading data files into SAS University Edition? Click here for more information.

Table of Contents

  1. About This Book
  2. About The Author
  3. Acknowledgments
  4. Chapter 1: What Is the SAS University Edition?
  5. Introduction
  6. How to Download the SAS University Edition
  7. Conclusions
  8. Chapter 2: SAS Studio Tasks
  9. Introduction
  10. Using the Built-in Tasks
  11. Taking a Tour of the Navigation Pane
  12. Exploring the LIBRARIES Tab
  13. Moving Columns
  14. Sorting Columns
  15. Filtering a Table (subsetting rows)
  16. Conclusion
  17. Chapter 3: Importing Data into SAS
  18. Introduction
  19. Exploring the Utilities Tab
  20. Importing Data from an Excel Workbook
  21. Listing the SAS Data Set
  22. Importing an Excel Workbook with Invalid SAS Variable Names
  23. Importing an Excel Workbook That Does Not Have Column Headings
  24. Importing Data from a CSV File
  25. Shared Folders (Accessing Data from Anywhere on Your Hard Drive)
  26. Demonstrating How to Read Data from a Shared Folder
  27. Conclusions
  28. Problems
  29. Chapter 4: Reading Data from Text Files
  30. Introduction
  31. Understanding the Work Area
  32. Some Basic Rules of SAS Programs
  33. Writing a Program to Read a Text File Where Data Values Are Separated by Delimiters
  34. Viewing Errors and Warnings
  35. Reading CSV Files
  36. Reading Text Files with Other Delimiters
  37. Setting the Length of Character Variables
  38. Reading Text Data in Fixed Columns
  39. Conclusions
  40. Problems
  41. Chapter 5: Descriptive Statistics – Univariate Analysis
  42. Introduction
  43. Generating Descriptive Statistics for Continuous Variables
  44. Investigating the Distribution for Systolic Blood Pressure
  45. Adding a Classification Variable in the Summary Statistics Tab
  46. Describing Categorical Variables
  47. Editing the SAS Code Generated by the One-Way Frequencies Statistics Task
  48. Conclusions
  49. Problems
  50. Chapter 6: One-Sample Tests
  51. Introduction
  52. Performing a One-Sample t Test
  53. Nonparametric One-sample Tests
  54. Conclusions
  55. Problems
  56. Chapter 7: Two-Sample Tests
  57. Introduction
  58. Unpaired t Test (t Test for Independent Groups)
  59. Nonparametric Two-sample Tests
  60. Paired t Test
  61. Conclusions
  62. Problems
  63. Chapter 8: Comparing More Than Two Means (ANOVA)
  64. Introduction
  65. Performing a One-Way Analysis of Variance
  66. Performing a Nonparametric One-Way Tests
  67. Conclusions
  68. Problems
  69. Chapter 9: N-Way ANOVA
  70. Introduction
  71. Performing a Two-Way Analysis of Variance
    1. Selecting a Random Sample
    2. Using the N-Way ANOVA Task
  72. Interpreting the Two-Way ANOVA Results
  73. Interpreting Models with Significant Interactions
  74. Conclusions
  75. Problems
  76. Chapter 10: Correlation
  77. Introduction
  78. Creating a Permanent SAS Data Set
  79. Reading the Exercise.xls Workbook and Creating a Permanent SAS Data Set
  80. Using the Statistics Correlation Task
  81. Generating Correlation and Scatter Plot Matrices
  82. Interpreting Correlation Coefficients
  83. Generating Spearman Non-Parametric Correlations
  84. Conclusions
  85. Problems
  86. Chapter 11: Simple and Multiple Regression
  87. Introduction
  88. Describing Simple Linear Regression
  89. Understanding the Diagnostic Plots
  90. Demonstrating Multiple Regression
  91. Demonstrating Stepwise Multiple Regression
  92. Conclusions
  93. Problems
  94. Chapter 12: Binary Logistic Regression
  95. Introduction
  96. Preparing the Birth Weight Data Set for Logistic Regression
  97. Selecting Reference Levels for Your Model
  98. Conclusions
  99. Problems
  100. Chapter 13: Analyzing Categorical Data
  101. Introduction
  102. Describing the Heart_Attack Data Set
  103. Computing One-Way Frequencies
  104. Creating Formats
  105. Producing One-Way Tables with Formats
  106. Creating Two-Way Tables
  107. Using Formats to Reorder the Rows and Columns of a Table
  108. Computing Chi-Square from Frequency Data
  109. Analyzing Tables with Low Expected Values
  110. Conclusions
  111. Problems
  112. Chapter 14: Computing Power and Sample Size
  113. Introduction
  114. Computing Sample Size for a t Test
  115. Calculating the Sample Size for a Test of Proportions
  116. Computing Sample Size for a One-Way ANOVA Design
  117. Conclusions
  118. Problems
  119. Instructions for Problem Sets
    1. How to Use the Problem Set Data Files
    2. How to Create a SAS Library
    3. Using a SAS Data Set in the PROBLEMS Library
  120. Appendix: Solutions to the Odd-Numbered Problems
  121. Index