Department of Health Library: Health statistics

Based on a starter course for beginning graduate students, Core Statistics provides concise coverage of the fundamentals of inference for parametric statistical models, including both theory and practical numerical computation. The book considers both frequentist maximum likelihood and Bayesian stochastic simulation while focusing on general methods applicable to a wide range of models and emphasizing the common questions addressed by the two approaches. This compact package serves as a lively introduction to the theory and tools that a beginning graduate student needs in order to make the transition to serious statistical analysis: inference; modeling; computation, including some numerics; and the R language. Aimed also at any quantitative scientist who uses statistical methods, this book will deepen readers' understanding of why and when methods work and explain how to develop suitable methods for non-standard situations, such as in ecology, big data and genomics.

Every day we are bombarded by television ads, public service announcements, and media reports warning of dire risks to our health and offering solutions to help us lower those risks. But many of these messages are incomplete, misleading, or exaggerated, leaving the average person misinformed and confused. Know Your Chances is a lively, accessible, and carefully researched book that can help consumers sort through this daily barrage by teaching them how to interpret the numbers behind the messages. In clear and simple steps.