Estimating the Sample Size You Need for Comparing Averages

Chapter 12: Comparing Proportions and Analyzing Cross-Tabulations

Examining Two Variables with the Pearson Chi-Square Test

Focusing on the Fisher Exact Test

Calculating Power and Sample Size for Chi-Square and Fisher Exact Tests

Chapter 13: Taking a Closer Look at Fourfold Tables

Focusing on the Fundamentals of Fourfold Tables

Choosing the Correct Sampling Strategy

Producing Fourfold Tables in a Variety of Situations

Chapter 14: Analyzing Incidence and Prevalence Rates in Epidemiologic Data

Understanding Incidence and Prevalence

Analyzing Incidence Rates

Estimating the Required Sample Size

Part 5: Looking for Relationships with Correlation and Regression

Chapter 15: Introducing Correlation and Regression

Correlation: Estimating How Strongly Two Variables Are Associated

Regression: Discovering the Equation that Connects the Variables

Chapter 16: Getting Straight Talk on Straight-Line Regression

Knowing When to Use Straight-Line Regression

Understanding the Basics of Straight-Line Regression

Running a Straight-Line Regression

Interpreting the Output of Straight-Line Regression

Recognizing What Can Go Wrong with Straight-Line Regression

Calculating the Sample Size You Need

Chapter 17: More of a Good Thing: Multiple Regression

Understanding the Basics of Multiple Regression

Executing a Multiple Regression Analysis in Software

Interpreting the Output of a Multiple Regression Analysis

Watching Out for Special Situations that Arise in Multiple Regression

Calculating How Many Participants You Need

Chapter 18: A Yes-or-No Proposition: Logistic Regression

Using Logistic Regression

Understanding the Basics of Logistic Regression

Fitting a function with an S shape to your data

Running a Logistic Regression Model with Software

Interpreting the Output of Logistic Regression

Heads Up: Knowing What Can Go Wrong with Logistic Regression

Figuring Out the Sample Size You Need for Logistic Regression

Chapter 19: Other Useful Kinds of Regression

Analyzing Counts and Rates with Poisson Regression