Item response theory (IRT) has moved beyond the confines of educational measurement into assessment domains such as personality, psychopathology, and patient-reported outcomes.
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.
In the latter half of the 20th century, Japan developed into a thriving economy, and the Japanese remain one of the healthiest populations in the world to this day.
According to the World Health Organization's 2008 GLOBOCAN report, 64% of global cancer deaths -- and 56% of cancer cases -- were registered in countries in Africa, Asia, or Latin America.
Written by a public health practitioner and a medical historian, Viral Pandemics explores the terrifying world of viruses as the cause of all acute pandemics since 1900, including the COVID-19 pandemic.
Compelling evidence shows health disparities are the result of inequalities in income, education, limited access to medical care, substandard social environments, and poor economic conditions.
Breast-Feeding: Early Influences on Later Health is a new book which draws together areas of research in early lifel programming of adult health, with a unique focus on the post-natal period in terms of early life programming particularly the extent to which differences in infant feeding practices can lay an indelible imprint on metabolism and behaviour, and hence affect later function and risk of disease.
This volume presents infectious diseases modeled mathematically, taking seasonality and changes in population behavior into account, using a switched and hybrid systems framework.
This book provides a comprehensive introduction to computational epidemiology, highlighting its major methodological paradigms throughout the development of the field while emphasizing the needs for a new paradigm shift in order to most effectively address the increasingly complex real-world challenges in disease control and prevention.
While regression models have become standard tools in medical research, understanding how to properly apply the models and interpret the results is often challenging for beginners.
Guides You on the Development and Implementation of B-R EvaluationsBenefit-Risk Assessment Methods in Medical Product Development: Bridging Qualitative and Quantitative Assessments provides general guidance and case studies to aid practitioners in selecting specific benefit-risk (B-R) frameworks and quantitative methods.
Now in its Fourth Edition, An Introduction to Medical Statistics continues to be a 'must-have' textbook for anyone who needs a clear logical guide to the subject.
Distinctively, this book brings together an end-to-end understanding of heatwaves, that is, a consideration of their causes, consequences for human and natural systems and societal responses to them in the form of adaptation and mitigation actions.
This book provides a comprehensive overview of the different water-associated infectious diseases and their linked pathogens with plausible strategies for their mitigation.
This book describes the uses of different mathematical modeling and soft computing techniques used in epidemiology for experiential research in projects such as how infectious diseases progress to show the likely outcome of an epidemic, and to contribute to public health interventions.
This book addresses the holistic impacts of COVID-19 on child health and gives a supportive framework for interprofessional pediatric teams serving children across the care continuum.
This book offers the first comprehensive introduction to Results Mapping, an in- novative approach for assessing the worth of hard-to-evaluate social, health, and education programs.
Introductory Statistics for the Health Sciences takes students on a journey to a wilderness where science explores the unknown, providing students with a strong, practical foundation in statistics.
This updated second edition of Molecular Typing in Bacterial Infections, presented in two volumes, covers both common and neglected bacterial pathogenic agents, highlighting the most effective methods for their identification and classification in the light of their specific epidemiology.
The Routledge Handbook of Critical Obesity Studies is an authoritative and challenging guide to the breadth and depth of critical thinking and theory on obesity.
Whether you call them work-related upper limb disorders (WRULDs), cumulative trauma disorders (CTDS), or occupational overuse syndromes (OOSs), these conditions are a cause of pain, disability and suffering to workers worldwide.
This book describes how epigenetic context, in a large sense, affects gene expression and the development of an organism, using the asymptotic limit theorems of information theory to construct statistical models useful in data analysis.
Over the last two decades, attempts to control the problem of tuberculosis have become increasingly more complex, as countries adopt and adapt to evolving global TB strategies.
Concise, accessible summary of current knowledge about challenging behaviour, fully updated with expanded sections on emergence and prevention strategies.
Bayesian adaptive designs provide a critical approach to improve the efficiency and success of drug development that has been embraced by the US Food and Drug Administration (FDA).
Jeder Arzt – gleich welcher Fachrichtung – trifft auf Menschen in besonderen Lebenssituationen: Wer krank ist, befindet sich meistens in einem "Ausnahmezustand".
This volume gathers together selected peer-reviewed works presented at the BIOMAT 2022 International Symposium, which was virtually held on November 7-11, 2022, with an organization staff based in Rio de Janeiro, Brazil.
This book describes the integration of high-throughput bioinformatics data from multiple platforms to inform our understanding of the functional consequences of genomic alterations.
Analysis of Correlated Data with SAS and R: 4th edition presents an applied treatment of recently developed statistical models and methods for the analysis of hierarchical binary, count and continuous response data.
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 waves of epidemic disease swept the Philippines in the late nineteenth century, some colonial physicians began to fear that the indigenous population would be wiped out.
