Predictor Variable
Running a Logistic Regression Model with One Continuous Predictor Variable
Using a Format to Create a Categorical Variable from a Continuous Variable
Using a Combination of Categorical and Continuous Variables in a Logistic Regression Model
Running a Logistic Regression with Interactions
Conclusions
Chapter 12 Nonparametric Tests
Introduction
Performing a Wilcoxon Rank-Sum Test
Performing a Wilcoxon Signed-Rank Test (for Paired Data)
Performing a Kruskal-Wallis One-Way ANOVA
Comparing Spread: The Ansari-Bradley Test
Converting Data Values into Ranks
Using PROC RANK to Group Your Data Values
Conclusions
Chapter 13 Power and Sample Size
Introduction
Computing the Sample Size for an Unpaired t-Test
Computing the Power of an Unpaired t-Test
Computing Sample Size for an ANOVA Design
Computing Sample Sizes (or Power) for a Difference in Two Proportions
Using the SAS Power and Sample Size Interactive Application
Conclusions
Chapter 14 Selecting Random Samples
Introduction
Taking a Simple Random Sample
Taking a Random Sample with Replacement
Creating Replicate Samples using PROC SURVEYSELECT
Conclusions
List of Programs
Program 1.1: Using PROC PRINT to List the Observations in a SAS Data Set
Program 1.2: Using PROC CONTENTS to Display the Data Descriptor Portion of a SAS Data Set
Program 1.3: Reading Data from a Text File That Uses Spaces as Delimiters
Program 1.4: Using PROC PRINT to List the Observations in Data Set Sample2
Program 1.5: Reading a CSV File
Program 2.1: Generating Descriptive Statistics with PROC MEANS
Program 2.2: Statistics Broken Down by a Classification Variable
Program 2.3: Demonstrating the PRINTALLTYPES Option with PROC MEANS
Program 2.4: Computing a 95% Confidence Interval
Program 2.5: Producing Histograms and Probability Plots Using PROC UNIVARIATE
Program 2.6: Using PROC SGPLOT to Produce a Histogram
Program 2.7: Using SGPLOT to Produce a Horizontal Box Plot
Program 2.8: Displaying Outliers in a Box Plot
Program 2.9: Labeling Outliers on a Box Plot
Program 2.10: Displaying Multiple Box Plots for Each Value of a Categorical Variable
Program 3.1: Computing Frequencies and Percentages Using PROC FREQ
Program 3.2: Demonstrating the NOCUM Tables Option
Program 3.3: Demonstrating the Effect of the MISSING Option with PROC FREQ
Program 3.4: Computing Frequencies on a Continuous Variable
Program 3.5: Writing a Format for Gender, SBP, and DBP
Program 3.6: Generating a Bar Chart Using PROC GCHART
Program 3.7: Generating a Bar Chart Using PROC SGPLOT
Program 3.8: Using ODS to Create PDF Output
Program 3.9: Creating a Cross-Tabulation Table Using PROC FREQ
Program 3.10: Changing the Order of Values in a PROC FREQ Table By Using Formats
Program 4.1: Creating a Scatter Plot
