This book addresses the health status of both mothers and children, highlighting acute malnutrition through anthropometric indices such as weight-for-height, weight-for-age, height-for-age, and BMI.
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.
Filling a gap in literature, this book examines surgical trials with a special focus on the underlying principles, challenges, and best practices to successfully conduct rigorous surgical research.
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 addresses the health status of both mothers and children, highlighting acute malnutrition through anthropometric indices such as weight-for-height, weight-for-age, height-for-age, and BMI.
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 edited book provides a comprehensive framework for the integration of mathematical methodologies into biological research, emphasizing applications that directly address topics related to SDG 3 (Good Health and Well Being) and SDG 6 (Clean Water and Sanitation).
This fascinating book delves into the transformative role that blockchain technology could play in the security and integrity of patient data within the healthcare sector.
Health Metrics and the Spread of Infectious Diseases: Machine Learning Applications and Spatial Modelling Analysis with R is an introductory guide to health metrics and infectious diseases.
This fascinating book delves into the transformative role that blockchain technology could play in the security and integrity of patient data within the healthcare sector.
The new edition of Biostatistics for Clinical and Public Health Research is an introductory workbook to provide not only a concise overview of key statistical concepts but also step-by-step guidance on how to apply these through a range of software packages, including R, SAS, and Stata.
Diagnosis through images, robot surgeons, digital twins, and the metaverse are some of the applications in which artificial intelligence (AI) is involved.
This book provides a practical, application-driven guide to using R for public health and health data science, accessible to both beginners and those with some coding experience.
The increasing prominence of generative AI across various industries presents an abundance of opportunities for integration within the healthcare sector.
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.
Bayesian analyses have made important inroads in modern clinical research due, in part, to the incorporation of the traditional tools of noninformative priors as well as the modern innovations of adaptive randomization and predictive power.
As the development of medicines has become more globalized, the geographic variations in the efficacy and safety of pharmaceutical products need to be addressed.
A Hands-On Approach to Teaching Introductory StatisticsExpanded with over 100 more pages, Introduction to Statistical Data Analysis for the Life Sciences, Second Edition presents the right balance of data examples, statistical theory, and computing to teach introductory statistics to students in the life sciences.
Written by a biostatistics expert with over 20 years of experience in the field, Bayesian Methods in Epidemiology presents statistical methods used in epidemiology from a Bayesian viewpoint.
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
Although the spatial dimension of ecosystem dynamics is now widely recognized, the specific mechanisms behind species patterning in space are still poorly understood and the corresponding theoretical framework is underdeveloped.
Recent advancements in signal processing and computerised methods are expected to underpin the future progress of biomedical research and technology, particularly in measuring and assessing signals and images from the human body.