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This book is devoted to the graphics of patient data: good graphs enabling straight¬forward and intuitive interpretation, efficient creation, and straightforward interpretation. We focus on easy access to graphics of patient data: the intention is to show a large variety of graphs for different phases of drug development, together with a description of what the graph shows, what type of data it uses, and what options there are. The main aim is to provide inspiration in form of a "graphics cookbook." Many graphs provide creative ideas about what can be done. The book is not intended to be technical. It introduces general principles of good visualization to make readers understand the concepts, but the main focus is on the creativity and usefulness: readers are enabled to browse through the book to get ideas of how their own data can be analyzed graphically.
For additional information visit Editor's companion website: http://www.elmo.ch/doc/life-science-graphics/
List of contents
Concepts and Principles of Clinical Data Graphics.- Graphics for Exploratory Analysis and Data Discovery in the Life Sciences.- Grables: Visual Displays That Combine the Best Attributes of Graphs and Tables.- The Use of Figures in Epidemiological Publications: A Survey of Current Practice and Consequent Recommendations.- Use of Graphics for Studies with Small Sample Sizes: A Simulated Case Study of an Early-Phase Asset for Treatment of Type 2 Diabetes Mellitus (T2DM).- Exploring Pharmacokinetic and Pharmacodynamic Data.- (Interactive) Graphics for Biomarker Assessment.- Graphical Displays for Biomarker Data.- Statistical Graphics in Clinical Oncology.- Efficient and Effective Review of Clinical Trial Data Safety Using Interactive Graphs and Tables.- Visualizing Dose-Response when the Signal to Noise Ratio is Low: The Bronchodilatory Response in Chronic Obstructive Pulmonary Disease.- Statistical Graphics in Late-Stage Drug Development.- Graphical Data Exploration in QT Model Building and Cardiovascular Drug Safety.- Data Visualization at the Individual Patient Level.- Graphics for Meta-Analysis.- Visualization of QT Data for Thorough QT Study Analysis and Review.- Graphics for Safety Analysis.- Cardiac Safety.- Data Visualization for Clinical Trials Data Management and Operations.- Post-Approval Uses of Clinical Data, Phase IV Data, and Sales & Marketing Data Visualizations.- Using Exploratory Visualization in the Analysis of Medical Product Safety in Observational Healthcare Data.
About the author
Dr. Andreas Krause, PD am Musikwissenschaftlichen Institut, Universität des Saarlandes und Lektor bei Schott Musik International.
Summary
This book is devoted to the graphics of patient data: good graphs enabling straightforward and intuitive interpretation, efficient creation, and straightforward interpretation.
Additional text
“This one is a structured collection of papers on using graphics in the Life Sciences. … Many of the graphics use color well and are more interesting and attractive as a result. … Anyone carrying out statistical analyses in the Life Sciences would probably benefit from dipping into this book.” (Antony Unwin, Biometrical Journal, Vol. 57 (2), 2015)
Report
"This one is a structured collection of papers on using graphics in the Life Sciences. ... Many of the graphics use color well and are more interesting and attractive as a result. ... Anyone carrying out statistical analyses in the Life Sciences would probably benefit from dipping into this book." (Antony Unwin, Biometrical Journal, Vol. 57 (2), 2015)
