This concise book will help you to interpret the statistical evidence provided by quantitative studies and to plan how to work with data in your own clinical research.
In a world where obesity has now reached epidemic proportions, a thorough understanding of the underlying causes of the problem is essential if society, public health initiatives and government policies are to successfully address the issue.
In a world where obesity has now reached epidemic proportions, a thorough understanding of the underlying causes of the problem is essential if society, public health initiatives and government policies are to successfully address the issue.
This new volume in the Encyclopaedia of Sports Medicine series, published under the auspices of the International Olympic Committee, provides a state-of-the- art account of the epidemiology of injury across a broad spectrum of Olympic sports.
A COMPANION TO HEALTH AND MEDICAL GEOGRAPHY A Companion to Health and Medical Geography provides an essential starting point for anyone interested in studying the role of geography and of geographers, both past and present, in promoting an understanding of issues relating to health and illness.
This concise book will help you to interpret the statistical evidence provided by quantitative studies and to plan how to work with data in your own clinical research.
Effective data presentation is an essential skill for anybody wishing to display or publish research results, but when done badly, it can convey a misleading or confusing message.
This invaluable, jargon-free guide to essential medical terminology in an accessible A-Z format is ideal for medical, allied health and biomedical science students and researchers, clinicians and health care practitioners.
In 1918 the Spanish flu epidemic swept the world and killed an estimated 20 to 40 million people in just one year, more than the number that died during the four years of the First World War.
In 1918 the Spanish flu epidemic swept the world and killed an estimated 20 to 40 million people in just one year, more than the number that died during the four years of the First World War.
When many of us picture the areas surrounding the North Pole, we imagine barren landscapes, wintry conditions, and sparse human and animal populations.
Health Metrics and the Spread of Infectious Diseases: Machine Learning Applications and Spatial Modelling Analysis with R is an introductory guide to health metrics and infectious diseases.
Numerical Ecology with R provides a long-awaited bridge between a textbook in Numerical Ecology and the implementation of this discipline in the R language.
This book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics.
This book on Infectious Disease Informatics (IDI) and biosurveillance is intended to provide an integrated view of the current state of the art, identify technical and policy challenges and opportunities, and promote cross-disciplinary research that takes advantage of novel methodology and what we have learned from innovative applications.
This greatly expanded third edition of Survival Analysis- A Self-learning Text provides a highly readable description of state-of-the-art methods of analysis of survival/event-history data.
Despite adults' best preventive efforts, childhood obesity is on the rise in most areas of the world, and with it the prevalence of Type 2 diabetes, hypertension, cardiovascular disease, and other formerly adult-onset conditions.
Gene Expression and its Discontents examines a class of probability models describing how epigenetic context affects gene expression and organismal development, using the asymptotic limit theorems of information theory in a highly formal manner.
Since the terrorist attack on the United States on September 11, 2001 and subsequent cases of anthrax in Florida and New York City, attention has been focused on the threat of b- logical warfare and bioterrorism.
Computer-based infectious disease surveillance systems are capable of real-time or near real-time detection of serious illnesses and potential bioterrorism agent exposures and represent a major step forward in disease surveillance.
As the obesity epidemic widens to all age groups and nations, chronic conditions increase in frequency, and populations grow in number, the costs of treatment will exhaust future health care resources.
This book comprehensively reviews the 10 most influential epidemics in history, going beyond morbid accounts of symptoms and statistics to tell the often forgotten stories of what made these epidemics so calamitous.
Full of biological applications, exercises, and interactive graphical examples, this text presents comprehensive coverage of both modern analytical methods and statistical foundations.
In longitudinal studies it is often of interest to investigate how a marker that is repeatedly measured in time is associated with a time to an event of interest, e.
Statistical Analysis of Human Growth and Development is an accessible and practical guide to a wide range of basic and advanced statistical methods that are useful for studying human growth and development.
Design and Analysis of Cross-Over Trials is concerned with a specific kind of comparative trial known as the cross-over trial, in which subjects receive different sequences of treatments.
Bayesian Inference for Partially Identified Models: Exploring the Limits of Limited Data shows how the Bayesian approach to inference is applicable to partially identified models (PIMs) and examines the performance of Bayesian procedures in partially identified contexts.
As the development of medicines has become more globalized, the geographic variations in the efficacy and safety of pharmaceutical products need to be addressed.
2013 BMA Medical Book Awards WinnerAs the importance of medical entomology increases, access to up-to-date, authoritative information also becomes increasingly critical.
As rapid technological developments occur in electronics, photonics, mechanics, chemistry, and biology, the demand for portable, lightweight integrated microsystems is relentless.
Adaptive clinical trial designs, unlike traditional fixed clinical trial designs, enable modification of studies in response to the data generated in the course of the trial.
Giving much more attention to noninferiority testing, this second edition provides readers with a rich repertoire of efficient solutions to specific equivalence and noninferiority testing problems frequently encountered in the analysis of real data sets.
The new edition of the bestselling Clinical Trials in Oncology provides a concise, nontechnical, and now thoroughly up-to-date review of methods and issues related to clinical trials.
Practical Statistical Methods: A SAS Programming Approach presents a broad spectrum of statistical methods useful for researchers without an extensive statistical background.
As evidenced by the anthrax attacks in 2001, the SARS outbreak in 2003, and the H1N1 influenza pandemic in 2009, a pathogen does not recognize geographic or national boundaries, often leading to devastating consequences.
