Epidemic trend analysis, timeline progression, prediction, and recommendation are critical for initiating effective public health control strategies, and AI and data analytics play an important role in epidemiology, diagnostic, and clinical fronts.
Preeminent Experts Update a Well-Respected BookTaking into account the regulatory and scientific developments that have occurred since the second edition, Design and Analysis of Bioavailability and Bioequivalence Studies, Third Edition provides a complete presentation of the latest progress of activities and results in bioavailability and bioequiva
The ideal way to develop sound judgment about data applicable to clinical careFirst choice of students, educators, and practitionersA thorough, meaningful, and interesting presentation of biostatisticsHelps students become informed users and consumers of biostatisticsLearn to evaluate and apply statistics in medicine, medical research, and all health-related fields.
Introduction to Regression Methods for Public Health Using R teaches regression methods for continuous, binary, ordinal, and time-to-event outcomes using R as a tool.
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 text provides essential modeling skills and methodology for the study of infectious diseases through a one-semester modeling course or directed individual studies.
Handbook for Clinical Trials of Imaging and Image-Guided Interventions is the first single-source, multi-disciplinary reference, based on the didactic sessions presented at the annual Clinical Trials Methodology Workshop for radiologists, radiation oncologists and imaging scientists (sponsored by the Radiological Society of North America (RSNA)).
It has now been 25 years since the apocryphal report in the CDC Morbidity and Mortality Weekly Report dated June 5, 1981 entitled, "e;Pneumocystis Pneumonia - Los Angeles"e;, which announced what was to become HIV/AIDS.
The number of innovative applications of randomization tests in various fields and recent developments in experimental design, significance testing, computing facilities, and randomization test algorithms have necessitated a new edition of Randomization Tests.
The family of statistical models known as Rasch models started with a simple model for responses to questions in educational tests presented together with a number of related models that the Danish mathematician Georg Rasch referred to as models for measurement.
The last four decades of human history have seen the emergence of an unprecedented number of 'new' infectious diseases: the familiar roll call includes AIDS, Ebola, H5N1 influenza, hantavirus, hepatitis E, Lassa fever, legionnaires' and Lyme diseases, Marburg fever, Rift Valley fever, SARS, and West Nile.
In 1983 two doctors, one from each side of the world, decided to form a partnership, and so began a scientific adventure that would improve the odds that babies could be born healthy and whole.
This book discusses the management of variceal bleeding in liver cirrhosis, covering a wide range of topics, including epidemiology, mechanism, diagnosis and monitoring, prophylaxis, treatment, and prognostic assessment.
Despite children making up around a quarter of the population, the first edition of this book was the first to focus on a public health approach to the health and sickness of children and young people.
Progress in Molecular Biology and Translational Science provides a forum for discussion of new discoveries, approaches, and ideas in molecular biology and translational science.
Master GIS Applications on Modelling and Mapping the Risks of DiseasesInfections transmitted by mosquitoes, ticks, triatomine bugs, sandflies, and black flies cause significant rates of death and disease, especially in developing countries.
This volume provides a comprehensive overview on developmental origins of health and disease regarding various factors related to the origins of non-communicable diseases (NCDs) from early life.
This book presents advanced research on smart health technologies, focusing on the innovative transformations in diagnosis and treatment planning using medical imaging and data analysed by data science techniques.
Mismeasurement of explanatory variables is a common hazard when using statistical modeling techniques, and particularly so in fields such as biostatistics and epidemiology where perceived risk factors cannot always be measured accurately.
The lifestyles and socio-economic status that are prevalent in regions of the world with limited resources form the background for the unique features of neoplastic diseases in these areas, where the majority of the world population lives.
Interval-Censored Time-to-Event Data: Methods and Applications collects the most recent techniques, models, and computational tools for interval-censored time-to-event data.
Fully revised and updated for the fourth edition, the award-winning Oxford Handbook of Public Health Practice remains the first resort for practitioners in the field.
Nursing informatics is the specialty that integrates nursing science with multiple information management and analytical sciences to identify, define, manage, and communicate data, information, knowledge, and wisdom in nursing practice.
This textbook addresses postgraduate students in applied mathematics, probability, and statistics, as well as computer scientists, biologists, physicists and economists, who are seeking a rigorous introduction to applied stochastic processes.
This textbook provides an exciting new addition to the area of network science featuring a stronger and more methodical link of models to their mathematical origin and explains how these relate to each other with special focus on epidemic spread on networks.
This book offers an important reference source about the most common classes of pesticides for researchers engaged in the area of neurotoxicology, metabolism, and epidemiology.
The disability-adjusted life year (DALY) is a generic measure of health effect that can be used in cost-effectiveness analysis as an alternative to the quality-adjusted life year (QALY).
