Seasonal patterns have been found in a remarkable range of health conditions, including birth defects, respiratory infections and cardiovascular disease. Accurately estimating the size and timing of seasonal peaks in disease incidence is an aid to understanding the causes and possibly to developing interventions. With global warming increasing the intensity of seasonal weather patterns around the world, a review of the methods for estimating seasonal effects on health is timely. This is the first book on statistical methods for seasonal data written for a health audience. It describes methods for a range of outcomes (including continuous, count and binomial data) and demonstrates appropriate techniques for summarising and modelling these data. It has a practical focus and uses interesting examples to motivate and illustrate the methods. The statistical procedures and example data sets are available in an R package called ‘season’.
This book presents the combined proceedings of the 7th International Conference on Computer Science and its Applications (CSA-15) and the International Conference on Ubiquitous Information Technologies and Applications (CUTE 2015), both held in Cebu, Philippines, December 15 - 17, 2015. The aim of these two meetings was to promote discussion and interaction among academics, researchers and professionals in the field of computer science covering topics including mobile computing, security and trust management, multimedia systems and devices, networks and communications, databases and data mining, and ubiquitous computing technologies such as ubiquitous communication and networking, ubiquitous software technology, ubiquitous systems and applications, security and privacy. These proceedings reflect the state-of-the-art in the development of computational methods, numerical simulations, error and uncertainty analysis and novel applications of new processing techniques in engineering, science, and other disciplines related to computer science.
This book collects important advances in methodology and data analysis for directional statistics. It is the companion book of the more theoretical treatment presented in Modern Directional Statistics (CRC Press, 2017). The field of directional statistics has received a lot of attention due to demands from disciplines such as life sciences or machine learning, the availability of massive data sets requiring adapted statistical techniques, and technological advances. This book covers important progress in bioinformatics, biology, astrophysics, oceanography, environmental sciences, earth sciences, machine learning and social sciences.
This book reviews a number of issues including: Why data generated from POC machines are considered as Big Data. What are the challenges in storing, managing, extracting knowledge from data from POC devices? Why is it inefficient to use traditional data analysis with big data? What are the solutions for the mentioned issues and challenges? What type of analytics skills are required in health care? What big data technologies and tools can be used efficiently with data generated from POC devices? This book shows how it is feasible to store vast numbers of anonymous data and ask highly specific questions that can be performed in real-time to give precise and meaningful evidence to guide public health policy.
Women and Sport: Continuing a Journey of Liberation and Celebration focuses on women winning access to the playing field as well as the front office in sport. Readers will gain an understanding of how women have been involved in sport and physical activity, how they have struggled for widespread recognition and legitimacy in the eyes of many, and how they continue to carve out their role in shaping sport as we know it today and as it will be in the future. Edited by renowned expert Ellen J. Staurowsky, widely accepted as an authority on college athlete rights and Title IX and gender equity, Women and Sport facilitates interdisciplinary, research-based discussion by providing a detailed account of contributions from women in sport. The text features a foreword by sport executive Donna Orender and 15 chapters—written by leading authorities in women and gender studies in sport—that are grouped into four parts: • Women’s Sport in Context: Connecting Past and Present reminds readers of the historical events and influences that shape today’s landscape. • Strong Girls, Strong Women recognizes gender differences and what it means to create equitable access to sport opportunities. • Women, Sport, and Social Location explores how various characteristics and qualities may affect sport participation and opportunities. • Women in the Sport Industry offers a rare and contemporary approach to examining women in sport leadership, management, and media. Women and Sport was developed with the intent of filling a need by serving as a primary textbook and separates itself from other titles by providing an abundance of instructor ancillary materials that assist in class preparations. Pedagogical aids such as objectives, glossary terms, discussion questions, and learning activities in each chapter facilitate student understanding of the material covered. Sidebars throughout the text enable the contributors to provide thought-provoking content on topics such as media coverage of female athletes, how female athletes are used in marketing campaigns, and whether athletic competitions should continue to be segregated by sex. Readers will discover the impact of these topics in many areas of society, from biomedical to psychosocial and historical. Through its engaging content, Women and Sport: Continuing a Journey of Liberation and Celebration serves as a launching pad for discussions that will shape society’s ongoing conversation about what it means to be a female athlete or a woman working in sport. It is an ideal textbook for adoption in interdisciplinary courses that focus on women and gender studies in sport.
Seasonal fluctuations in mortality are a persistent phenomenon, but variations from culture to culture pose fascinating questions. This book investigates whether sociodemographic and socioeconomic factors play a role as important for seasonal mortality as they do for mortality in general. Using modern statistical methods, the book shows, for example, that in the United States the fluctuations between winter and summer mortality are smaller the more years someone has spent in school.
Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical literature. Responding to this void, Longitudinal Data Analysis provides a clear, comprehensive, and unified overview of state-of-the-art theory
As an area of statistical application, environmental epidemiology and more speci cally, the estimation of health risk associated with the exposure to - vironmental agents, has led to the development of several statistical methods and software that can then be applied to other scienti c areas. The stat- tical analyses aimed at addressing questions in environmental epidemiology have the following characteristics. Often the signal-to-noise ratio in the data is low and the targets of inference are inherently small risks. These constraints typically lead to the development and use of more sophisticated (and pot- tially less transparent) statistical models and the integration of large hi- dimensional databases. New technologies and the widespread availability of powerful computing are also adding to the complexities of scienti c inves- gation by allowing researchers to t large numbers of models and search over many sets of variables. As the number of variables measured increases, so do the degrees of freedom for in uencing the association between a risk factor and an outcome of interest. We have written this book, in part, to describe our experiences developing and applying statistical methods for the estimation for air pollution health e ects. Our experience has convinced us that the application of modern s- tistical methodology in a reproducible manner can bring to bear subst- tial bene ts to policy-makers and scientists in this area. We believe that the methods described in this book are applicable to other areas of environmental epidemiology, particularly those areas involving spatial{temporal exposures.
