This text offers independent chapters for a multidisciplinary readership of students and professionals in areas such as biostatistics, public health, psychology, and health policy. It introduces concepts and methods for designing, using, and evaluating risk adjustment methods wh…
Competing risks and multistate models with R
by Beyersmann, Jan, Allignol, Arthur, Schumacher, Martin
fromUse R!
This book highlights quantitative risk assessment and modeling methods for assessing health risks caused by air pollution, as well as characterizing and communicating remaining uncertainties. It shows how to apply modern data science, artificial intelligence and machine learning…
This book highlights quantitative risk assessment and modeling methods for assessing health risks caused by air pollution, as well as characterizing and communicating remaining uncertainties. It shows how to apply modern data science, artificial intelligence and machine learning…
"This book focuses on the comparison, contrast, and assessment of risks on the basis of clinical investigations. It develops basic concepts as well as deriving biostatistical methods through both the application of classical mathematical statistical tools and more modern likelih…
