**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.

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- About This Book
- About The Author
- Acknowledgments
- Chapter 1: What Is the SAS University Edition?
- Introduction
- How to Download the SAS University Edition
- Conclusions
- Chapter 2: SAS Studio Tasks
- Introduction
- Using the Built-in Tasks
- Taking a Tour of the Navigation Pane
- Exploring the LIBRARIES Tab
- Moving Columns
- Sorting Columns
- Filtering a Table (subsetting rows)
- Conclusion
- Chapter 3: Importing Data into SAS
- Introduction
- Exploring the Utilities Tab
- Importing Data from an Excel Workbook
- Listing the SAS Data Set
- Importing an Excel Workbook with Invalid SAS Variable Names
- Importing an Excel Workbook That Does Not Have Column Headings
- Importing Data from a CSV File
- Shared Folders (Accessing Data from Anywhere on Your Hard Drive)
- Demonstrating How to Read Data from a Shared Folder
- Conclusions
- Problems
- Chapter 4: Reading Data from Text Files
- Introduction
- Understanding the Work Area
- Some Basic Rules of SAS Programs
- Writing a Program to Read a Text File Where Data Values Are Separated by Delimiters
- Viewing Errors and Warnings
- Reading CSV Files
- Reading Text Files with Other Delimiters
- Setting the Length of Character Variables
- Reading Text Data in Fixed Columns
- Conclusions
- Problems
- Chapter 5: Descriptive Statistics – Univariate Analysis
- Introduction
- Generating Descriptive Statistics for Continuous Variables
- Investigating the Distribution for Systolic Blood Pressure
- Adding a Classification Variable in the Summary Statistics Tab
- Describing Categorical Variables
- Editing the SAS Code Generated by the One-Way Frequencies Statistics Task
- Conclusions
- Problems
- Chapter 6: One-Sample Tests
- Introduction
- Performing a One-Sample t Test
- Nonparametric One-sample Tests
- Conclusions
- Problems
- Chapter 7: Two-Sample Tests
- Introduction
- Unpaired t Test (t Test for Independent Groups)
- Nonparametric Two-sample Tests
- Paired t Test
- Conclusions
- Problems
- Chapter 8: Comparing More Than Two Means (ANOVA)
- Introduction
- Performing a One-Way Analysis of Variance
- Performing a Nonparametric One-Way Tests
- Conclusions
- Problems
- Chapter 9: N-Way ANOVA
- Introduction
- Performing a Two-Way Analysis of Variance
- Interpreting the Two-Way ANOVA Results
- Interpreting Models with Significant Interactions
- Conclusions
- Problems
- Chapter 10: Correlation
- Introduction
- Creating a Permanent SAS Data Set
- Reading the Exercise.xls Workbook and Creating a Permanent SAS Data Set
- Using the Statistics Correlation Task
- Generating Correlation and Scatter Plot Matrices
- Interpreting Correlation Coefficients
- Generating Spearman Non-Parametric Correlations
- Conclusions
- Problems
- Chapter 11: Simple and Multiple Regression
- Introduction
- Describing Simple Linear Regression
- Understanding the Diagnostic Plots
- Demonstrating Multiple Regression
- Demonstrating Stepwise Multiple Regression
- Conclusions
- Problems
- Chapter 12: Binary Logistic Regression
- Introduction
- Preparing the Birth Weight Data Set for Logistic Regression
- Selecting Reference Levels for Your Model
- Conclusions
- Problems
- Chapter 13: Analyzing Categorical Data
- Introduction
- Describing the Heart_Attack Data Set
- Computing One-Way Frequencies
- Creating Formats
- Producing One-Way Tables with Formats
- Creating Two-Way Tables
- Using Formats to Reorder the Rows and Columns of a Table
- Computing Chi-Square from Frequency Data
- Analyzing Tables with Low Expected Values
- Conclusions
- Problems
- Chapter 14: Computing Power and Sample Size
- Introduction
- Computing Sample Size for a t Test
- Calculating the Sample Size for a Test of Proportions
- Computing Sample Size for a One-Way ANOVA Design
- Conclusions
- Problems
- Instructions for Problem Sets
- Appendix: Solutions to the Odd-Numbered Problems
- Index