SAS GRAPHICS FOR CLINICAL TRIALS BY EXAMPLE
(eBook)
Author
Contributors
Published
[S.l.] : SAS INSTITUTE, 2020.
Format
eBook
ISBN
1952365961, 195236597X, 9781952365966, 9781952365973
Physical Desc
1 online resource
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Language
English
Notes
Description
Create industry-compliant graphs with this practical guide for professionals Analysis of clinical trial results is easier when the data is presented in a visual form. However, clinical graphs must conform to specific guidelines in order to satisfy regulatory agency requirements. If you are a programmer working in the health care and life sciences industry and you want to create straightforward, visually appealing graphs using SAS, then this book is designed specifically for you. Written by two experienced practitioners, the book explains why certain graphs are requested, gives the necessary co.
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Citations
APA Citation, 7th Edition (style guide)
Harris, K., & Watson, R. (2020). SAS GRAPHICS FOR CLINICAL TRIALS BY EXAMPLE . SAS INSTITUTE.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Harris, Kriss and Richann. Watson. 2020. SAS GRAPHICS FOR CLINICAL TRIALS BY EXAMPLE. SAS INSTITUTE.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Harris, Kriss and Richann. Watson. SAS GRAPHICS FOR CLINICAL TRIALS BY EXAMPLE SAS INSTITUTE, 2020.
MLA Citation, 9th Edition (style guide)Harris, Kriss., and Richann Watson. SAS GRAPHICS FOR CLINICAL TRIALS BY EXAMPLE SAS INSTITUTE, 2020.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
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Grouped Work ID
7f6dd446-45a9-5e66-8fc5-6b923f801202-eng
Grouping Information
Grouped Work ID | 7f6dd446-45a9-5e66-8fc5-6b923f801202-eng |
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Full title | sas graphics for clinical trials by example |
Author | harris kriss |
Grouping Category | book |
Last Update | 2024-09-06 16:31:08PM |
Last Indexed | 2024-09-18 13:36:53PM |
Book Cover Information
Image Source | syndetics |
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First Loaded | Sep 3, 2024 |
Last Used | Sep 18, 2024 |
Marc Record
First Detected | Jul 29, 2024 04:06:02 PM |
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Last File Modification Time | Sep 06, 2024 04:41:52 PM |
MARC Record
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245 | 1 | 0 | |a SAS GRAPHICS FOR CLINICAL TRIALS BY EXAMPLE |
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300 | |a 1 online resource | ||
505 | 0 | |a Intro -- Contents -- About This Book -- What Does This Book Cover? -- Is This Book for You? -- What Are the Prerequisites for This Book? -- What Should You Know about the Examples? -- We Want to Hear from You -- About These Authors -- Acknowledgments -- Acknowledgments -- Chapter 1: Introduction to Clinical Graphics -- 1.1 Introduction to Output Delivery System Statistical -- Graphics -- 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 | |
505 | 8 | |a 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 -- 2.6 Report for Time to Adverse Events by Treatment Group -- 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 | |
505 | 8 | |a 3.3 Individual Patient Changes -- 3.4 Mean Change from Baseline Over Time -- 3.5 Laboratory Values Shift from Baseline to Post-Baseline -- Plot -- 3.6 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 -- 4.3 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 | |
505 | 8 | |a 5.2 Survival Curves for Time-to-Event Endpoints -- 5.3 Forest Plots from Overall Survival Hazard Ratios -- 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 | |
505 | 8 | |a 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 -- 7.3 Venn Diagrams -- 7.4 Chapter Summary -- References -- Appendix -- Chapter 8: Building the Seemingly Impossible -- 8.1 Introduction to Patient 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 | |
520 | |a Create industry-compliant graphs with this practical guide for professionals Analysis of clinical trial results is easier when the data is presented in a visual form. However, clinical graphs must conform to specific guidelines in order to satisfy regulatory agency requirements. If you are a programmer working in the health care and life sciences industry and you want to create straightforward, visually appealing graphs using SAS, then this book is designed specifically for you. Written by two experienced practitioners, the book explains why certain graphs are requested, gives the necessary co. | ||
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