Healthy ageing has long been a neglected area of epidemiological research as the traditional focus has been on specific chronic diseases of older life.
In the past 10 years spirituality and spiritual care have been much debated in professional healthcare literature, highlighting the need for a recognised definition of spiritual care to enable appropriate assessment of, and response to, spiritual issues.
Mendelian Randomization: Methods For Causal Inference Using Genetic Variants provides thorough coverage of the methods and practical elements of Mendelian randomization analysis.
In the maelstrom of current public health debate over the social determinants of health, this book offers a well-balanced discussion on the roots of prevalent strains of thought on the matter.
In the past 10 years spirituality and spiritual care have been much debated in professional healthcare literature, highlighting the need for a recognised definition of spiritual care to enable appropriate assessment of, and response to, spiritual issues.
This book is meant for adoption in first courses on epidemiology in Medical Schools and Faculties of Public Health in developing and transition countries and in workshops in these countries, taught for example by members of international organizations.
Treatment outcome has certainly improved since Stunkard and McLaren-Hume (1959) reviewed the literature and found that less than 25% of obese patients lost 20 pounds or more and less than 5% lost 40 pounds or more.
In one handy book, this reference gathers all the necessary information on 14 of the most commonly used dangerous groups of pathogens in biosafety level 3 and 4 laboratories.
Dieser Buchtitel ist Teil des Digitalisierungsprojekts Springer Book Archives mit Publikationen, die seit den Anfängen des Verlags von 1842 erschienen sind.
Computation intelligence (CI) paradigms, including artificial neural networks, fuzzy systems, evolutionary computing techniques, and intelligent agents, form the basis of making clinical decisions.
Disease Mapping: From Foundations to Multidimensional Modeling guides the reader from the basics of disease mapping to the most advanced topics in this field.
This innovative book presents the latest insights into hamstring strain injuries (HSI), one of the most common problems in elite and recreational sport, with a unique focus on prevention and rehabilitation.
Introduction to Mathematical Oncology presents biologically well-motivated and mathematically tractable models that facilitate both a deep understanding of cancer biology and better cancer treatment designs.
This innovative volume introduces Trajectory Analysis, a new systems-based approach to measuring nonlinear dynamics in continuous change, to public health and epidemiology.
This book begins with an introduction of pragmatic cluster randomized trials (PCTs) and reviews various pragmatic issues that need to be addressed by statisticians at the design stage.
One of the hallmarks of the 21st century medicine is the emergence of digital therapeutics (DTx)-evidence-based, clinically validated digital technologies to prevent, diagnose, treat, and manage various diseases and medical conditions.
R for Health Technology Assessment discusses the use of proper statistical software, specifically R, to perform the whole pipeline of analytic modelling in health technology assessment (HTA).
Health services are often fragmented along organizational lines with limited communication among the public health-related programs or organizations, such as mental health, social services, and public health services.
This volume addresses the need for sociological insight through empirically rich, theoretically innovative chapters that range across methods, traditions and foci in order to cast new light on the place, role and impact of neuroscience.
Since the early 2000s, there has been increasing interest within the pharmaceutical industry in the application of Bayesian methods at various stages of the research, development, manufacturing, and health economic evaluation of new health care interventions.
Statistical Thinking in Clinical Trials combines a relatively small number of key statistical principles and several instructive clinical trials to gently guide the reader through the statistical thinking needed in clinical trials.
