Epidemiology and Medical statistics

Drawing from the authors' own work and from the most recent developments in the field, Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis describes a comprehensive Bayesian approach for drawing inference from incomplete data in longitudinal studies.

This third edition volume expands on the previous editions with updated chapters on longitudinal studies, randomized trials, evidence-based decisions making, and a new section on changing health-related behaviors.

In recent years, deep learning has shown great potential in transforming various fields including healthcare.

This book comprehensively reviews various vector-borne diseases and their control methods.

The statistical study and development of analytic methodology for individualization of treatments is no longer in its infancy.

The modern realities of cybersecurity have uncovered the unpreparedness of many sectors and industries to deal with emerging threats.

A valuable new edition of the trusted, practical guide to managing data in clinical trials Regardless of size, type, or complexity, accurate results for any clinical trial are ultimately determined by the quality of the collected data.

This volume summarizes and updates information about antibiotics and antimicrobial resistance (AMR)/antibiotic resistant genes (ARG) production, including their entry routes in soil, air, water and sediment, their use in hospital and associated waste, global and temporal trends in use and spread of antibiotics, AMR and ARG.

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.

Statistical methods that are commonly used in the review and approval process of regulatory submissions are usually referred to as statistics in regulatory science or regulatory statistics.

An accessible overview of the challenges in tackling AMR, and the economic and policy responses of the multidisciplinary ''One Health'' approach.

This concise, user-friendly book provides an accessible guide for anyone wishing to pursue an epidemiological study.

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.

This book presents a rigorous enquiry into life course processes that are thought to influence health, integrating the latest methodologies for the study of pathways that link socio-demographic circumstances to health with an emphasis on the mediating factors that lie on these pathways.

Medical Product Safety Evaluation: Biological Models and Statistical Methods presents cutting-edge biological models and statistical methods that are tailored to specific objectives and data types for safety analysis and benefit-risk assessment.

Reviews the conceptual basis of evidence-based medicine and the ethical issues it gives rise to.

This is a pioneering book that delves into the intersection of artificial intelligence (AI) and healthcare, specifically focusing on the detection and prevention of infectious diseases.

'Each topic is covered in sufficient depth, currency, and clarity to be of value to the neophyte and the seasoned researcher/clinician.

The new edition of this critically praised text continues to provide the most comprehensive overview of the concepts, methods, and research advances in the field.

The definitive textbook on the subject, offering a core curriculum that addresses the epidemiology of major reproductive and perinatal outcomes.

For researchers, clinicians, and other health professionals looking to select, develop, or apply medical tests.

This short, readable 2004 textbook is designed to introduce students to the biology and techniques of agricultural pest and disease vector control.

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

3 the observation focus on aggregate or individual behaviours?

The Tutorials in Biostatistics have become a very popular feature of the prestigious Wiley journal, Statistics in Medicine (SIM).

This book comprehensively reviews the disease dynamics, distribution, surveillance, epidemiology, diagnosis, control strategies, and management of the desert malaria.

This workbook is designed to teach the major fundamental concepts in Epidemiology, Biostatistics, and clinical research design alongside the textbook "e;Epidemiology and Biostatistics, 2nd Edition"e;.

Former Ontario Chief Coroner James Young and infectious disease expert Dick Zoutman recount their efforts to contain the mysterious new disease.

This book draws on the author's ten years of participatory work to examine core themes of (mis)representation, re-presentation, and resistance within place-health research and practice.

In this second edition of Infectious Diseases and Arthropods, Jerome Goddard summarizes the latest thinking about the biological, entomological, and clinical aspects of the major vector-borne diseases around the world.

This book highlights various evolutionary algorithm techniques for various medical conditions and introduces medical applications of evolutionary computation for real-time diagnosis.

This book addresses the origins, determinants and magnitude of the global problem of sedentary behaviour, along with concise yet in-depth solutions for tackling it.

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.

This book examines the impact of the recent global health crisis on the urban development of Vienna and Tokyo.

Chronic diseases-heart disease, diabetes, lung disease, and common cancers-claim more than one out of every two lives worldwide.

Ohne Statistik keine Forschung.

Item response theory (IRT) has moved beyond the confines of educational measurement into assessment domains such as personality, psychopathology, and patient-reported outcomes.

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

This practical and thorough book explains when and how to use models and techniques for the analysis of competing risks and intermediate states.

More people were killed by smallpox during the twentieth century--over 300 million--than by all of the wars of that period combined.

Cluster Randomised Trials, Second Edition discusses the design, conduct, and analysis of trials that randomise groups of individuals to different treatments.

This is a practical guide to tomographic image reconstruction with projection data, with strong focus on Computed Tomography (CT) and Positron Emission Tomography (PET).

Dieser Buchtitel ist Teil des Digitalisierungsprojekts Springer Book Archives mit Publikationen, die seit den Anfängen des Verlags von 1842 erschienen sind.

Cost-effectiveness analysis is becoming an increasingly important tool for decision making in the health systems.

This book is useful for administrators of different levels involved in counteracting COVID-19, surveillance professionals, clinicians, researchers specializing in epidemiology, microbiology, and infectious diseases, and politicians / legislators engaged in public health sector.

A clear, hands-on outline of best practices for infection prevention that directly improve patient outcomes across the healthcare continuum.

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.

Finding effective methods for mosquito control remains one of the great global challenges facing this generation.

Cluster randomised trials are trials in which groups (or clusters) of individuals are randomly allocated to different forms of treatment.