ROC Curves for Continuous Data pdf

David J. Hand is a prominent British statistician born on June 30, 1950, in Peterborough, United Kingdom. He holds the position of Professor of Statistics at Imperial College, London. Over the years, he has established himself as a leading figure in the field of statistics and data analysis.

Academic and Professional Achievements:

• Emeritus Professor of Mathematics and Senior Research Investigator at Imperial College, London.
• Formerly held the Chair in Statistics at Imperial College, London.
• Fellow of the British Academy and an Honorary Fellow of the Institute of Actuaries.
• Served as President of the Royal Statistical Society on two occasions.
• Served as a non-executive director of the UK Statistics Authority for eight years.
• Member of the European Statistical Advisory Committee.
• Chairs the National Statistician's Expert User Advisory Committee and the ONS's Centre for Applied Data Ethics Advisory Committee.
• Previous Chair of the Research Board of Imperial College's Data Science Institute and Chair of the UK's Administrative Data Research Network.
• Chief Scientific Advisor to Winton Capital Management for eight years.

Authorship:

David J. Hand is a prolific author with a notable body of work, including:

• Over 300 scientific papers.
• 32 books covering various aspects of data analysis and statistics.
• His recent books include "Amy's Luck," "Dark Data," "From GDP to Sustainable Wellbeing," "Measurement: A Very Short Introduction," and "Information Generation: How Data Rules Our World."

Awards and Recognitions:

• Awarded the Guy Medal of the Royal Statistical Society in 2002.
• In 2012, he and his research group received the Credit Collections and Risk Award for Contributions to the Credit Industry.
• Honored with the George Box Medal in 2016.
• Received the Research Medal of the International Federation of Classification Societies in 2019.
• In 2013, he was appointed OBE (Officer of the Order of the British Empire) for his outstanding contributions to research and innovation.

David J. Hand's remarkable career and contributions have left an indelible mark on the field of statistics, making him a respected authority and prolific author in the realm of data analysis and statistical science.

ROC Curves for Continuous Data pdf by David Hand

In the realm of data analysis, ROC (Receiver Operating Characteristic) curves have become an indispensable tool across various application areas. However, the knowledge and advancements related to ROC curves have often been scattered across different articles and texts, making it challenging for practitioners to gain a comprehensive understanding.

A Definitive Resource:

"ROC Curves for Continuous Data" stands out as the first book dedicated entirely to this subject. It serves as a unifying resource, consolidating all the pertinent material to provide a clear and coherent grasp of ROC curve analysis.

From Theory to Practice:

The book commences by elucidating the fundamental theory of ROC curves. It explores the relationship between ROC curves and various performance measures, bridging the gap between theory and practical application. The authors delve into the estimation of ROC curves and introduce statistical tests and summary statistics for their analysis.

Expanding Horizons:

As the book progresses, it extends the scope to encompass more complex scenarios. This includes dealing with multiple ROC curves, challenges arising from the presence of more than two classes, and the impact of covariates on ROC curves.

Design and Interpretation:

Focusing on design and interpretation issues, the book addresses critical topics such as missing data, verification bias, sample size determination, the planning of ROC studies, and the selection of optimal thresholds from ROC curves.

Wide-Ranging Applications:

In the final chapter, the book showcases real-world applications that not only illustrate the techniques but also underscore the broad applicability of ROC curve analysis across diverse disciplines.

Guiding Present and Future Users:

With the ever-growing interest in ROC analysis, driven by nearly 5,000 published articles on the subject, "ROC Curves for Continuous Data" emerges as a timely and indispensable guide. Authored by David J. Hand, this comprehensive resource will undoubtedly assist both current and future practitioners in mastering the intricacies of ROC curve analysis, making it an invaluable addition to the field of data analysis.