100 Best Biostatistics Books of All Time

During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Ma

This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for ``wide'' data (p bigger than n), including multiple testing and false discovery rates.

Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.

Nursing Informatics: Scope and Standards of Practice, 3rd Edition describes a competent level of nursing care at each level of nursing informatics practice and provides comprehensive overviews of the dynamic and complex practice of the nursing informatics specialty. Published by ANA, this book is informed by advances in health care and professional nursing practice. It contains national standards

This book explores and analyzes the options for preventive medicine, considered from various viewpoints - epidemiological, sociological, political, practical, and ethical. The uniting theme is the concept of health as an issue for populations as well as for individuals. This has applications throughout medicine and these are illustrated by a wide range of examples. The book will be valuable to pro

This book is a brief, intuitive approach to clinical biostatistics, not just to pass the "next test," but also to improve patient care by assisting practitioners in evaluating medical literature.Physicians and other health care practitioners shoud not only understand a reserach paper's Abstract and Conclusions sections, but also the Materials and Methods sections. This requires understanding of ke

Principles of Biostatistics, Third Edition is a concepts-based introduction to statistical procedures that prepares public health, medical, and life sciences students to conduct and evaluate research. With an engaging writing style and helpful graphics, the emphasis is on concepts over formulas or rote memorization. Throughout the book, the authors use practical, interesting examples with real dat

Become a disease detective with this easy-to-understand resourceEpidemiology For Dummies is packed with key concepts, practical applications, and real-life examples in the study of disease transmission and control. It's a must-have for students in all public-health-related fields, and for curious learners, too. This Dummies guide will help you conquer even the trickiest epidemiological concepts. I

Selected as a Doody's Core Title for 2022 and 2023! For more than 30 years, Designing Clinical Research has set the standard as the most practical, authoritative guide for physicians, nurses, pharmacists, and other practitioners involved in all forms of clinical and public health research. Using a reader-friendly writing style, Drs. Warren S. Browner, Thomas B. Newman, Steven R. Cummings, Deborah

Is surgery always the best option? A surgeon cuts through the evidence. For many complaints and conditions, the benefits from surgery are lower, and the risks higher, than you or your surgeon think. In this book you will see how commonly performed operations can be found to be useless or even harmful when properly evaluated. Surgery, The Ultimate Placebo makes a compelling argument from an experie

A Proven Guide for Easily Using R to Effectively Analyze Data

Like its bestselling predecessor, A Handbook of Statistical Analyses Using R, Second Edition provides a guide to data analysis using the R system for statistical computing. Each chapter includes a brief account of the relevant statistical background, along with appropriate references.

New to the Second Edition

This edition continues to offer straightforward descriptions of how to conduct a range of statistical analyses using R, from simple inference to recursive partitioning to cluster analysis. Focusing on how to use R and interpret the results, it provides students and researchers in many disciplines with a self-contained means of using R to analyze their data.

Artificial Intelligence for Improved Patient Outcomes provides new, relevant, and practical information on what AI can do in healthcare and how to assess whether AI is improving health outcomes. With clear insights and a balanced approach, this innovative book offers a one-stop guide on how to design and lead pragmatic real-world AI studies that yield rigorous scientific evidence—all in a manner t