Epidemiology and Medical statistics

This book subtly presents the Peste des Petits Ruminants Virus (PPRV), a morbillivirus closely related to rinderpest virus, that decimates sheep and goats along with those of other susceptible domestic ruminants and many wildlife species.

When we think of climate change, we often picture man-made global warming, caused by greenhouse gas emissions.

This practical introduction to second-order and growth mixture models using Mplus introduces simple and complex techniques through incremental steps.

This groundbreaking work, now available in paperback, has helped to shape the emerging discipline of molecular epidemiology.

This book highlights and suggests remedies for the racial and ethnic health disparities confronting people of color amid COVID-19 in the United States.

In this original work, Tom Lawry takes readers on a journey of understanding what we learned from fighting a global pandemic and how to apply these learnings to solve healthcare's other big challenges.

Medical Risk Prediction Models: With Ties to Machine Learning is a hands-on book for clinicians, epidemiologists, and professional statisticians who need to make or evaluate a statistical prediction model based on data.

Using real data from published sources, this engaging and lucid casebook shows how statistical tools can be used to analyze important epidemiologic issues.

Firefighters are taught to battle flames.

This book brings together a blend of different areas of machine learning and recent advances in the area.

There have been many advances in the theory and applications of discrete distributions in recent years.

Der Sammelband untersucht die Entwicklung der beiden sich uberschneidenden Epidemien HIV/AIDS und Hepatitis C in Zentralasien und China vor dem Hintergrund der Ziele fur nachhaltige Entwicklung der Vereinten Nationen.

Written by a biostatistics expert with over 20 years of experience in the field, Bayesian Methods in Epidemiology presents statistical methods used in epidemiology from a Bayesian viewpoint.

Translating the evidence from the bedside to populations This sixth edition of the best-selling Epidemiology, Evidence-based Medicine and Public Health Lecture Notes equips students and health professionals with the basic tools required to learn, practice and teach epidemiology and health prevention in a contemporary setting.

Bayesian Demographic Estimation and Forecasting presents three statistical frameworks for modern demographic estimation and forecasting.

Initially stimulated by a scholarly workshop convened in Singapore in late 2004, and written over the subsequent 18 months, this volume considers the potentially lethal pattern of infectious disease emergence in Asia.

This is an up-to-date and comprehensive handbook that presents a wealth of information on the different aspects of one of the largest dipterous family, Culicidae (mosquitoes).

As the health delivery landscape in the United States evolves in a post-COVID-19 era, both incumbents and new entrants are reimagining models of care.

This book emphasizes the clinical epidemiology of chronic liver diseases with a specific focus on the methodology of the discussed studies.

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Meta-analysis is the application of statistics to combine results from multiple studies and draw appropriate inferences.

The Earth's biodiversity-the rich variety of life on our planet-is disappearing at an alarming rate.

Social capital is a widely acknowledged candidate for implementing beneficial democratic processes and promoting public health.

This book discusses the impacts that weather and climate have on human physical health, longevity, and mental wellness, and acts as a guide to the application of meteorological science in health care.

Global simultaneous development is becoming more necessary as the cost of developing medical products continues to grow.

This Handbook on cancer biology comprehensively reviews the current status of the oncobiology of major cancer types, cancer detection and treatment strategies, principles and processes of cancer drug development, and nanomedicine and other emerging cancer medicine applications to cancer diagnosis and treatment.

This timely resource brings child health to the forefront of global health and the crucial goal of universal equity of care.

This book provides concrete scientific basis that we can conceive the possibility of modifying or even completely canceling aging process, despite the fact that aging is commonly regarded as the result of the overall effects of many uncontrollable degenerative phenomena.

This book reveals the applications of AI and IoT in smart healthcare and medical systems.

Hepatitis C in Developing Countries: Current and Future Challenges explores the current state of HCV in several countries, including Africa, Asia and South America.

This book summarizes the keynote and plenary speeches and posters of the Xth International Nidovirus Symposium: Toward Control of SARS and Other Nidovirus Diseases"e; that was held in Colorado Springs, Colorado, June 25-30, 2005.

As the health delivery landscape in the United States evolves in a post-COVID-19 era, both incumbents and new entrants are reimagining models of care.

This book discusses IoT in healthcare and how it enables interoperability, machine-to-machine communication, information exchange, and data movement.

This authoritative handbook reviews the most widely-used methods for studying the use and abuse of alcohol and illegal drugs.

Reliably optimizing a new treatment in humans is a critical first step in clinical evaluation since choosing a suboptimal dose or schedule may lead to failure in later trials.

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.

A fully updated edition of this key text on mixed models, focusing on applications in medical research The application of mixed models is an increasingly popular way of analysing medical data, particularly in the pharmaceutical industry.

This book presents futuristic trends in computational intelligence including algorithms as applicable to different application domains in health informatics covering bio-medical, bioinformatics, and biological sciences.

In spite of progress in biomedical research, we know little about the causes, prevention, and treatment of the numerous mental and neurological disorders that afflict up to 15% of all individuals.

An authoritative, evidence-based overview of the health needs of people with intellectual disabilities and how to manage these needs appropriately.

Infectious Disease Epidemiology is a concise reference guide which provides trainees and practicing epidemiologists with the information that they need to understand the basic concepts necessary for working in this specialist area.

Practical Statistics for Medical Research is a problem-based text for medical researchers, medical students, and others in the medical arena who need to use statistics but have no specialized mathematics background.

Physical activity clearly is associated with decreased risk of many chronic diseases, as well as with longer life.

This volume is intended for the professional who is a newcomer to the area of environmental radon.