This book introduces readers to the methods, types of data, and scale of analysis used in the context of health. The challenges
of working with big data are explored throughout the book, while the benefits are also emphasized through the discoveries
made possible by linking large datasets. Methods include thorough case studies from statistics, as well as the newest facets
of data analytics: data visualization, modeling and simulation, and machine learning. The diversity of datasets is illustrated
through chapters on networked data, image processing, and text, in addition to typical structured numerical datasets. While
the methods, types of data, and scale have been individually covered elsewhere, by bringing them all together under one "umbrella"
the book highlights synergies, while also helping scholars fluidly switch between tools as needed. New challenges and emerging
frontiers are also discussed, helping scholars grasp how methods will need to change in response to the latest challenges