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This book will present a unified and up-to date introduction to ROC methodologies, covering both diagnosis (classification) and prediction. The book will emphasize the practical implementation of these methods using standard statistical software such as R and STATA.
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R for Health Data Analysis includes everything a healthcare professional needs to go from R Novice to R Guru. By the end of this book, you will be taking a sophisticated approach to health data science with beautiful visualisations, elegant tables, and nuanced analyses.
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Spatial Data Science is a book for data scientists with intermediate R knowledge. The book gives a detailed explanation of the core spatial software packages for R: sf for simple feature... Læs mere
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This book concerns use of real world data (RWD) and real world evidence (RWE) to aid drug development across product cycle. RWD are healthcare data... Læs mere
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Representing a diverse array of health concerns ranging across chronic and infectious diseases and including research employing varied... Læs mere
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The book is to be organized flexibly so that chapters and topics are arranged with continuity from the former chapters. Each chapter has been made as self-contained... Læs mere
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Examines the nature of pandemics as a phenomenon, how to mount a global response to lethal bioevents--detailing strategoes for readiness, military and security issues, government roadblocks to response, mutual aid, ethics, global health and response.
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