Epidemiology and Medical Statistics books

Designed for a new generation of biologists, this textbook teaches modern computational statistics by using R/Bioconductor to analyze experimental data from high-throughput technologies. The presentation minimizes mathematical notation and emphasizes inductive understanding from well-chosen examples, hands-on simulation, and visualization.

The Oxford Handbook of Clinical Medicine, a peerless classic in the field, returns for a tenth edition. Thoroughly updated in line with current guidelines, this pocket-friendly book continues to be a truly indispensable companion for the practice of modern medicine.

Applied Survival Analysis Using R covers the main principles of survival analysis, gives examples of how it is applied, and teaches how to put those principles to use to analyze data using R as a vehicle.

Designed to support the best-selling third edition of Medical Statistics at a Glance, this comprehensive workbook contains a variety of self-assessment methods allowing readers to test their statistical knowledge, put it into practice, and apply it to a medical context and when reading published literature.

TheAtlas of Disease interweaves new maps with contemporary illustrations to chart some of the world's most deadly pandemics and epidemics.

This is the fifth edition of a very successful textbook on clinical trials methodology, written by recognized leaders who have long and extensive experience in all areas of clinical trials.

This book provides an introduction to predictive models as well as a guide to applying them. It will serve as a useful guide for practitioners. All results can be reproduced using R.

Blackwell Publishing is delighted to announce that this book has been Highly Commended in the 2004 BMA Medical Book Competition. Here is the judges' summary of this book: "This is a technical book on a technical subject but presented in a delightful way.

This book discusses the most important techniques available for longitudinal data analysis, emphasizing the interpretation and comparison of the results of the different techniques. New chapters cover the role of the time variable and new features of longitudinal data analysis in this updated and revised second edition.

Through this book, researchers and students will learn to use R for analysis of large-scale genomic data and how to create routines to automate analytical steps.

A revealing memoir of resilience, exposing the numerous failures of Western intervention at the centre of West Africa's Ebola outbreak.

Pale Rider is not just an excavation but a reimagining of the past' GuardianWith a death toll of between 50 and 100 million people and a global reach, the Spanish flu of 1918-1920 was the greatest human disaster, not only of the twentieth century, but possibly in all of recorded history.

It is an inescapable fact that causation, both generally (in populations), and specifically (in individuals), cannot be observed. Rather, causation is determined when it can be inferred that the risk of an observed injury or disease from a plausible cause is greater than the risk from other plausible causes. While many causal evaluations performed in forensic medicine are simplified by fact that...

Clinical Evidence Made Easy will give those working in healthcare the tools to understand the information available to them from clinical data sources, which can otherwise be hard to decipher.

This book is designed to be a practical study in infectious disease dynamics. The chapters of Epidemics: Models and Data using R have been organized in a reasonably logical way: Chapters 1-10 is a mix and match of models, data and statistics pertaining to local disease dynamics;

Provides readers with effective methods for evaluating health programs and offers expert guidance for collaborating with stakeholders involved in the process.

Firefighters are taught to battle flames. Police learn to respond quickly to 911 calls....

Despite advances in statistical approaches towards clinical outcome prediction, these innovations are insufficiently utilized in medical research. This book provides information on how modern statistical concepts and regression methods can be applied.

Ecology is more quantitative and theory-driven than ever before. This demystifying book combines an introduction to the major theoretical concepts in general ecology with a cutting edge Open Source tool, the R programming language.

This practical guide speaks to two audiences: those who read and those who conduct research. Clinicians are medical detectives by training. For each patient, they assemble clinical clues to establish causes of signs and symptoms. The task involves both clinical acumen and knowledge of medical research. This book helps guide clinicians through this detective work, by enabling them to make sense of...