David L. Katz – författare

Written by renowned epidemiologists and public health experts, this unique text provides complete, concise coverage of epidemiology, biostatistics, preventive medicine, and public health in clear, easy-to-understand terms. One convenient volume delivers must-know content in four complex areas—information that''s sure to be covered in today''s classrooms and on USMLE exams—presented with a clinical focus and real-life medical examples throughout. Depth of coverage, concise writing style, outstanding online review questions, a clinical emphasis … these features and more make Jekel''s your go-to resource for learning, study, and review.- Focuses on clinical problem solving and decision making using epidemiologic concepts and examples- Contains more clinical cases throughout, including global examples.- Offers expanded coverage of the impact of big data and precision medicine, as well as an updated and reorganized biostatistics section- Features quick-reference boxes that showcase key concepts and calculations, and dynamic illustrations that facilitate learning using a highly visual approach- Provides almost 300 multiple-choice chapter review questions and answers in print with additional questions and more online at Student Consult- Aligns content to board blueprints for the USMLE as well as the three specialties certified by the American Board of Preventive Medicine: Occupational Medicine, and Public Health & General Preventive Medicine—and is recommended by the ABPM as a top review source for its core specialty examination

The presentation is consistently excellent. One, the writing is lucid and organized in a way that should be very natural for the clinical reader. Two, the text requires no background in mathematics and uses a minimum of symbols. And, three, the methodological concepts and clinical issues are well integrated through a number of carefully prepared and comprehensive examples. Greg Samsa, Associate Director, Duke Center for Clinical Health Policy Research If a patient is older or younger than, sicker or healthier than, taller or shorter than or simply different from the subjects of a study, do the results pertain? Clinical Epidemiology & Evidence-based Medicine is a resource for all health-care workers involved in applying evidence to the care of their patients. Using clinical examples and citing liberally from the peer-reviewed literature, the book shows how statistical principles can improve medical decisions. Plus, as Katz shows how probability, risk and alternatives are fundamental considerations in all clinical decisions, he demonstrates the intuitive basis for using clinical epidemiolgy as a science underlying medical decisions. After reading this text, the practitioner should be better able to access, interpret, and apply evidence to patient care as well as better understand and control the process of medical decision making.

The presentation is consistently excellent. One, the writing is lucid and organized in a way that should be very natural for the clinical reader. Two, the text requires no background in mathematics and uses a minimum of symbols. And, three, the methodological concepts and clinical issues are well integrated through a number of carefully prepared and comprehensive examples. Greg Samsa, Associate Director, Duke Center for Clinical Health Policy Research If a patient is older or younger than, sicker or healthier than, taller or shorter than or simply different from the subjects of a study, do the results pertain? Clinical Epidemiology & Evidence-based Medicine is a resource for all health-care workers involved in applying evidence to the care of their patients. Using clinical examples and citing liberally from the peer-reviewed literature, the book shows how statistical principles can improve medical decisions. Plus, as Katz shows how probability, risk and alternatives are fundamental considerations in all clinical decisions, he demonstrates the intuitive basis for using clinical epidemiolgy as a science underlying medical decisions. After reading this text, the practitioner should be better able to access, interpret, and apply evidence to patient care as well as better understand and control the process of medical decision making.