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Drawing upon the recent explosion of research in the field, a diverse group of scholars surveys the latest strategies for solving ecological inference problems, the process of trying to infer individual behavior from aggregate data. The uncertainties and information lost in aggregation make ecological inference one of the most difficult areas of statistical inference, but these inferences are required in many academic fields, as well as by legislatures and the Courts in redistricting, marketing research by business, and policy analysis by governments. This wide-ranging collection of essays offers many fresh and important contributions to the study of ecological inference.
Globally, physical inactivity is on the rise in most countries, and according to the WHO, it is considered one of the leading major public health risks. As children’s physical activity behaviors are conveyed into adulthood, many interventions focus on establishing healthy physical activity habits in children to prevent the potential negative health outcomes associated with low physical activity over the life course. The school environment provides an opportunity to reach the majority of children, however, physical activity promotion in schools can often be a challenge. Barriers to the success of physical activity interventions include the physical, social and economic environment, competencies, and workload of teachers, as well as the perception that physical activity may interfere with the primary task of schools, which is education. Moreover, the evaluation of physical activity interventions for children is challenging, raising a discussion on how to best evaluate these interventions.
This book discusses advanced statistical methods that can be used to analyse ecological data. Most environmental collected data are measured repeatedly over time, or space and this requires the use of GLMM or GAMM methods. The book starts by revising regression, additive modelling, GAM and GLM, and then discusses dealing with spatial or temporal dependencies and nested data.
A review of world affairs.
Eddie and Jemima can't believe their luck when a strange inventor comes to their grandmother's farm with a tantalizing secret. Before long the whole village is curious and they proceed with this exciting idea. Quipped with homemade formulas, they learn how to grow a dream. But the gift of good fortune becomes costly when Jemima discovers the truth.