Epidemiology and Medical statistics

This interdisciplinary volume gathers selected, refereed contributions on various aspects of public health from several disciplines and research fields, including the philosophy of science, epidemiology, statistics and ethics.

Written by experts that include originators of some key ideas, chapters in the Handbook of Multiple Testing cover multiple comparison problems big and small, with guidance toward error rate control and insights on how principles developed earlier can be applied to current and emerging problems.

Salmonella infections of man and animals continue to be a distressing health problem worldwide.

Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners to sophisticated data analysis techniques in genomics.

Blackwell Publishing is delighted to announce that this book has been Highly Commended in the 2004 BMA Medical Book Competition.

Coccidiosis is one of the most important diseases of livestock, particularly poultry, with billions of dollars spent on prevention worldwide.

Handbook of Statistical Methods for Case-Control Studies is written by leading researchers in the field.

APPLIED MEDICAL STATISTICS An up-to-date exploration of foundational concepts in statistics and probability for medical students and researchers Medical journals and researchers are increasingly recognizing the need for improved statistical rigor in medical science.

More than one in six men will develop prostate cancer in their lifetime.

In most countries, problematic drug use is dealt with primarily as a criminal justice issue, rather than a health issue.

Nonpharmacological treatments include a wide variety of treatments such as surgery, technical procedures, implantable and non-implantable devices, rehabilitation, psychotherapy, and behavioral interventions.

Diseases transmitted by insects continue to have a major impact on human populations.

Colorful example-rich introduction to the state-of-the-art for students in data science, as well as researchers and practitioners.

This significantly expanded and newest edition of the bestselling HIMSS Dictionary of Health Information Technology Terms, Acronyms, and Organizations has been developed and extensively reviewed by more than 50 industry experts.

Information on future mortality trends is essential for population forecasts, public health policy, actuarial studies, and many other purposes.

Over the last 20 years, comprehensive strategies for treating measurement error in complex models and accounting for the use of extra data to estimate measurement error parameters have emerged.

Highly practical yet authoritative, the new edition of Modern Infectious Disease Epidemiology has been thoroughly updated and revised in line with changing health concerns.

Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data: COVID-19 and Beyond is a handy treatise to elicit and elaborate possible intelligent mechanisms for modeling, prediction, diagnosis, and early detection of diseases arising from outbreaks of different epidemics with special reference to COVID-19.

There is a unique nutritional commonality developing in research relating to coronary heart disease and cancer.

Social and Community Medicine for Students presents an extensive examination of the application of medical sociology to community treatment.

Identifying how, why and in whom gastrointestinal disease occurs, and what can be done to prevent it, is of key importance for the modern-day gastroenterologist and researcher.

Scientific progress has been rapid in lysosomal biology during the last six decades.

The basis for much of medical public health practice comes from epidemiological research.

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

This textbook focuses on the vascular biology and physiology that underlie vascular disorders in clinical medicine.

Global Occupational Health is a concise, complete introduction to a vital-but often neglected-area in the field of health sciences.

This book introduces the use of statistics to solve a variety of problems in exercise science and health and provides readers with a solid foundation for future research and data analysis.

This second edition of the highly successful Easy Guide to OSCEs for Clinical Specialties provides a comprehensive yet succinct resource to get you through each clinical rotation, as well as the Final exam.

This is a collection of papers presented at the 1985 annual meeting of the Society for Risk Analysis.

An overview of the current systems biology-based knowledge and the experimental approaches for deciphering the biological basis of cancer.

Presents basic and advanced methods with a focus on demonstrated added value for a broad class of public health surveillance problems.

This book introduces basic concepts, principle, and methods of medical statistics systematically and practically, especially in the statistical design of the experiment in terms of the specific problems, adequate use of statistical methods based on actual data and the reasonable explanation for statistical results.

Design and Analysis of Clinical Trials for Predictive Medicine provides statistical guidance on conducting clinical trials for predictive medicine.

Distributional cost-effectiveness analysis aims to help health care and public health organisations make fairer decisions with better outcomes.

This volume offers extensive information on preventive and infection surveillance procedures, routines and policies adapted to the optimal infection control level needed to tackle today's microbes in hospital practice.

At its core, epidemiology is concerned with changes in health and disease.

In the last two decades, machine learning has developed dramatically and is still experiencing a fast and everlasting change in paradigms, methodology, applications and other aspects.

Although there are many books written on the principles and methods of experimentation, few are written in a succinct, comprehensive outline format.

Hybrid Frequentist/Bayesian Power and Bayesian Power in Planning Clinical Trials provides a practical introduction to unconditional approaches to planning randomised clinical trials, particularly aimed at drug development in the pharmaceutical industry.

Collecting and analyzing data on unemployment, inflation, and inequality help describe the complex world around us.

Real-world evidence is defined as evidence generated from real-world data outside randomized controlled trials.

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.

Nursing Education and Digital Health Strategies explores the current state of health and healthcare education, as well as that of nursing informatics education.

Oftentimes, small groups (called clusters) of individuals (called subunits) are randomized between treatment arms.

Vital Statistics of the United States: Births, Life Expectancy, Deaths, and Selected Health Data brings together a comprehensive collection of birth, mortality, health, and marriage and divorce data into a single volume.

This book offers a radically different perspective on the topic of health inequity.