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Index
About This Book About These Authors Acknowledgments Chapter 1: Introduction to Clinical Graphics 1.1 Introduction to Output Delivery System Statistical Graphics
1.1.1 Understanding the Basic: Statistical Graphics Procedures
1.1.1.1 Overview of the SGPLOT Procedure 1.1.1.2 Overview of the SGPANEL Procedure 1.1.1.3 Overview of the SGSCATTER Procedure
1.1.2 Understanding the Basics: Graph Template Language
1.1.2.1 Draw Spaces for a Graph 1.1.2.2 Layouts for GTL 1.1.2.3 General Syntax for GTL 1.1.2.4 General Syntax for Layouts 1.1.2.5 Syntax for LATTICE Layout
1.2 Reason Why Clinical Graphs Are Needed and What They Should Convey 1.3 Chapter Summary References Chapter 2: Using SAS to Generate Graphs for Adverse Events 2.1 Introduction to Adverse Events 2.2 Reports for Adverse Events 2.3 Adverse Events MedDRA Coding 2.4 Toxicity Grade for Adverse Events 2.5 Report for Maximum Grade 1 Adverse Events by Treatment Group
2.5.1 Illustrating Snippet of Adverse Event Data 2.5.2 Producing Frequency Plot of Adverse Events for Each System Organ Class 2.5.3 Producing Frequency Plot of Treatment-Related Adverse Events by System Organ Class 2.5.4 Producing Plot for Both Adverse Events and Treatment-Related Adverse Events by System Organ Class 2.5.5 Producing Frequency Plot of Adverse Events Grouped by Maximum Grade for Each System Organ Class
2.6 Report for Time to Adverse Events by Treatment Group
2.6.1 Illustrating Snippet of Time to Event Analysis Data Set 2.6.2 Controlling the PROC LIFETEST Kaplan Meier Plot
2.6.2.1 Controlling the Kaplan Meier Plot by Specifying Procedure Options 2.6.2.2 Controlling the Kaplan Meier Plot by Modifying Graph Templates Using Macros 2.6.2.3 Controlling the Kaplan Meier Plot by Directly Modifying Graph Templates
2.7 Treatment Risk Difference for Adverse Events 2.8 Adverse Event Profile Plot 2.9 Chapter Summary References Chapter 3: Using SAS to Generate Graphs for Data Collected Over Time 3.1 Introduction on Findings Data 3.2 Laboratory Values Over Time for Each Laboratory Parameter
3.2.1 Illustrating a Snippet of Laboratory Data 3.2.2 Illustrating Summary Statistics Over Time Represented in Tabular Form 3.2.3 Illustrating Summary Statistics Over Time Represented in a Graph
3.3 Individual Patient Changes 3.4 Mean Change from Baseline Over Time 3.5 Laboratory Values Shift from Baseline to Post-Baseline Plot
3.5.1 Illustrating Shift from Baseline to Maximum Post-Baseline Normal Range Indicator in Tabular Form 3.5.2 Illustrating Shift from Baseline to Maximum Post-Baseline Result in Tabular Form
3.6 Chapter Summary References Chapter 4: Using SAS to Generate Graphs for Exposure and Patient Disposition 4.1 Introduction to the Napoleon Plot/Swimmer Plot 4.2 Creating a Napoleon Plot/Swimmer Plot
4.2.1 Creating the Bar Charts and Dose Legend 4.2.2 Creating Reason for Treatment Discontinuation Markers and Legend 4.2.3 Adding Reason for Treatment Discontinuation Initial to the Plot 4.2.4 Adding Cohort information to the Plot
4.3 Creating a Napoleon Plot for Many Patients That Highlights Dose Interruptions 4.4 Chapter Summary References Chapter 5: Using SAS to Generate Graphs for Time-to-Event Endpoints 5.1 Introduction to Time-to-Event Endpoints
5.1.1 Using ODS Output Objects for Time-to-Event Endpoints 5.1.2 Understanding Overall Survival Endpoint 5.1.3 Understanding Progression-Free Survival Endpoint 5.1.4 Understanding the Usefulness of Kaplan-Meier Plots
5.2 Survival Curves for Time-to-Event Endpoints
5.2.1 Generating a Survival Plot with SGPLOT 5.2.2 Generating Single-Cell Survival Plot with Graph Template Language 5.2.3 Generating Multi-Cell Survival Plots with Graph Template Language
5.2.3.1 Generating Survival Plot with Median Survival Next to the Survival Curve 5.2.3.2 Generating Survival Plot with Median Survival and Event Statistics Table 5.2.3.3 Generating Survival Plots for Subgroup Analysis
5.3 Forest Plots from Overall Survival Hazard Ratios
5.3.1 Generating Forest Plot that Exhibit Number of Observations 5.3.2 Generating Multiple Forest Plots that Exhibit Number of Observations
5.4 Chapter Summary References Chapter 6: Using SAS to Generate Graphs for Tumor Response 6.1 Introduction on Tumor Response 6.2 Assessment of Tumor Burden 6.3 Measurement of Longest Diameter Over Time Per Patient 6.4 Waterfall Plot of Best Overall Response with Best Percentage Change in Tumor Burden 6.5 Spider Plot of Percentage Change from Baseline for Each Patient Over Time 6.6 Swimmer Plot for Overall Response During Course of Study 6.7 Other Types of Plots for Oncology Data 6.8 Chapter Summary References Chapter 7: Using SAS to Generate Special Purpose Graphs 7.1 Introduction to Special Purpose Graphs 7.2 Interactive Graphs
7.2.1 Illustrating Adverse Event Drill Down
7.2.1.1 Producing Graphs of Adverse Event Counts for each Treatment and Severity Group 7.2.1.2 Producing Main Interactive Bar Chart 7.2.1.3 Creating a Drop-Down Selection Menu
7.3 Venn Diagrams
7.3.1 Creating a Two-Way Venn Diagram 7.3.2 Creating a Three-Way Venn Diagram 7.3.3 Creating a Four-Way Venn Diagram
7.4 Chapter Summary References Appendix
JavaScript CSS
Chapter 8: Building the Seemingly Impossible 8.1 Introduction to Patient Profile Plot
8.1.1 Walking Through a Diabetic Patient Profile Plot
8.1.1.1 Creation of Data Set with All Necessary Data to Build a Diabetic Patient Profile Plot 8.1.1.2 Creation of Series Plots for Glucose and HbA1c Lab Results 8.1.1.3 Creation of Scatter Plot for Hypoglycemic and Hyperglycemic Events 8.1.1.4 Creation of Highlow Plot for Duration of Medication by Type of Medication 8.1.1.5 Creation of Diabetic Patient Profile Plot
8.1.2 Using An Alternate Approach to Producing the Profile Plot
8.2 Chapter Summary References Chapter 9: Selecting the Ideal Style, Output Format, and Graphical Options 9.1 Introduction to Styles, Output Format, and Graphical Options 9.2 Custom Styles
9.2.1 Creating a Custom Style
9.2.1.1 Data Snippet of Subject Level Data Used to Illustrate Styles 9.2.1.2 CustomSapphire Style with No Modifications 9.2.1.3 Modified CustomSapphire Style
9.2.2 Saving the Custom Style Template
9.3 Output Delivery System Destination and Image Format
9.3.1 Selecting the Output Delivery System Destination 9.3.2 Selecting the Image Format
9.4 Options for Specific Types of Documents
9.4.1 Setting Options for Documents Used for Presentations
9.4.1.1 Survival Plot Using Default Dimensions and DPI of 300 9.4.1.2 Survival Plot Using Smaller Dimensions and DPI of 300 9.4.1.3 Survival Plot Using Smaller Dimensions, DPI of 300, and Custom Style 9.4.1.4 Using ODS PowerPoint to Output Graphs Directly into PowerPoint
9.4.2 Setting Options for Documents Used for Publications 9.4.3 Setting Options for Documents Used for Medical Writer
9.5 Options for Different Countries 9.6 Chapter Summary References
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