Epidemiology and Medical statistics

Japan's asbestos disasters, encompassing both occupational disease and environmental pollution, have been caused principally by the asbestos textile, asbestos cement water pipe, and construction industries.

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.

The book discusses the impact of genetics, social determinants of health, the environment, and lifestyle in the burden of cardiometabolic conditions in African American and Hispanic/Latinx populations.

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 explains how to determine sample size for studies with correlated outcomes, which are widely implemented in medical, epidemiological, and behavioral studies.

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.

A Statistical Approach to Genetic Epidemiology After studying statistics and mathematics at the University of Munich and obtaining his doctoral degree from the University of Dortmund, Andreas Ziegler received the Johann-Peter-S ssmilch-Medal of the German Association for Medical Informatics, Biometry and Epidemiology for his post-doctoral work on Model Free Linkage Analysis of Quantitative Traits in 1999.

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

What do the movements of molecules and the migration of humans have in common?

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

This book addresses how coping with the pandemic has been shaped by the interplay between cognition and emotion.

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.

Judith Lorber and Lisa Jean Moore consider the interface between the social institutions of gender and Western medicine in this brief, lively textbook.

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.

This book addresses the many ethical issues and extraordinary risks that nurses and others are facing during the COVID-19 pandemic, which creates physical, emotional, and economic burdens, affecting nurses' overall health and well-being.

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.

New health systems exist today thanks to the changing nature of diseases as a result of the integration of new technologies and new approaches in care giving and the management of healthcare systems.

In March 1983 the Secretary of State for Welfare, Health and Cultural Affairs appointed the Steering Committee on Future Health Scenarios (STG).

This book provides practical knowledge to clinicians and biomedical researchers using biological and biochemical specimen/samples in order to understand health and disease processes at cellular, clinical, and population levels.

Cox and Donnelly lay out the concrete, usable principles that underpin the successful application of statistics.