This volume gathers together selected, peer-reviewed papers presented at the BIOMAT 2020 International Symposium, which was virtually held on November 1-6, 2020, with an organization staff based in Rio de Janeiro, Brazil.
Clinical Trial Optimization Using R explores a unified and broadly applicable framework for optimizing decision making and strategy selection in clinical development, through a series of examples and case studies.
Providing key information on how to work with research data, Introduction to Data Technologies presents ideas and techniques for performing critical, behind-the-scenes tasks that take up so much time and effort yet typically receive little attention in formal education.
Essentials of Environmental Epidemiology for Health Protection guides front line public health practitioners through the decisions they are likely to face when dealing with environmental health problems.
This monograph on measurement error and misclassification covers a broad range of problems and emphasizes unique features in modeling and analyzing problems arising from medical research and epidemiological studies.
On May 27-31, 1985, a series of symposia was held at The University of Western Ontario, London, Canada, to celebrate the 70th birthday of Pro- fessor V.
Survival Analysis Using S: Analysis of Time-to-Event Data is designed as a text for a one-semester or one-quarter course in survival analysis for upper-level or graduate students in statistics, biostatistics, and epidemiology.
This textbook presents epidemiology in a practical manner, contextualized with discussions of theory and ethics, so that students and professionals from all academic backgrounds may develop a deep appreciation for how to conduct and interpret epidemiological research.
A clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies The first edition of this text was widely acclaimed for the clarity of the presentation, and quickly established itself as the definitive text in this field.
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.
Geographers have for a long time contributed much valuable detailed data on the geographical patterns of disease and health care delivery to the medical world.
Hybrid Frequentist/Bayesian Power and Bayesian Power in Planning Clinical Trials provides a practical introduction to unconditional approaches to planning randomised clinical trials, particularly aimed at drug development in the pharmaceutical industry.
Written by a team of nationally recognized African American social work professionals with extensive and distinguished backgrounds of HIV/AIDS service, the book examines the crisis facing African American communities.
Weaving together research findings and narratives, Culture of Health in Practice: Innovations in Research, Community Engagement, and Action explores the many opportunities we have as a society to advance a Culture of Health and makes the case that a commitment to health equity is fundamental to bringing those efforts into the mainstream.
Infectious Diseases and Pathology of Reptiles, Second Edition provides definitive information on every aspect of the anatomy, pathophysiology, and differential diagnosis of infectious diseases affecting reptiles.
Over the past two decades increasing interest has emerged in the contribu- tions that the social sciences might make to the epidemiological study of patterns of health and disease.
As globalization causes profound changes in business, industry, and trade,it can also have significant effects on populations, environments, and individuals.
This ambitious sourcebook surveys both the traditional basis for and the present state of indigenous women's reproductive health in Mexico and Central America.
This contributed volume convenes selected, peer-reviewed works presented at the BIOMAT 2021 International Symposium, which was virtually held on November 1-5, 2021, with its organization staff based in Rio de Janeiro, Brazil.
Praise for previous editions:"e;Gandrud has written a great outline of how a fully reproducible research project should look from start to finish, with brief explanations of each tool that he uses along the way.
This volume consists of three parts: Part I comprises 11 chapters on the basic concepts of statistics, Part II consists of 10 chapters on multivariate statistics and Part III contains 12 chapters on design and analysis for medical research.
Authoritative, clear and concise, this highly acclaimed book continues to be an essential text for all medical, surgical and allied health professionals who are seeking a quick and respected guide to systematically reviewing the literature.
This book explains how to determine sample size for studies with correlated outcomes, which are widely implemented in medical, epidemiological, and behavioral studies.
The public is bombarded daily with reports about risk factors, many conflicting with each other, others accepted as "e;scientific truth"e; for awhile, then scientifically disproved, yet others questionable that later prove to be true.
This book is based on presentations by some of the world's leading experts at the Sixth International Conference on Clinical Cancer Prevention, held in St.
This book addresses the many ethical issues and extraordinary risks that nurses and others are facing during the COVID-19 pandemic, which creates physical, emotional, and economic burdens, affecting nurses' overall health and well-being.
The integrated nested Laplace approximation (INLA) is a recent computational method that can fit Bayesian models in a fraction of the time required by typical Markov chain Monte Carlo (MCMC) methods.
This timely edited collection presents a holistic and biopsychosocial analysis of LGBTQ People of Color well-being, focused on heart, brain, and mental health, and employs a unique incorporation of minority stress, intersectionality, and allostatic load frameworks.