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Quasi-Least Squares Regression
Drawing on the authors’ substantial expertise in modeling longitudinal and clustered data, Quasi-Least Squares Regression provides a thorough treatment of quasi-least squares (QLS) regression—a computational approach for the estimation of correlation parameters within the framework of generalized estimating equations (GEEs). The authors present a detailed evaluation of QLS methodology, demonstrating the advantages of QLS in comparison with alternative methods. They describe how QLS can be used to extend the application of the traditional GEE approach to the analysis of unequally spaced longitudinal data, familial data, and data with multiple sources of correlation. In some settings, QLS ...
Growing a Life
Growing a Life demonstrates just how influential school and community gardening programs can be for adolescents. Readers follow author Illène Pevec as she travels from rural Colorado to inner New York City, and from agrarian New Mexico to urban Oakland, California, to study remarkable youth gardening programs for at-risk teens. Expressive candid interviews with more than eighty students, substantiated by relevant neuroscience research and a framework of positive psychology, explain the life-altering physical and emotional benefits of gardening. As students share their experiences tending the soil and the plants, feeding their families and their communities, and guiding younger children, readers are given the opportunity to examine the largely unexplored topic of mentored urban gardening. Growing a Life will inspire educators, community leaders, and youth to team up and establish community gardens where they do not already exist and to involve youth in existing gardens.--
Logistic Regression Models
Logistic Regression Models presents an overview of the full range of logistic models, including binary, proportional, ordered, partially ordered, and unordered categorical response regression procedures. Other topics discussed include panel, survey, skewed, penalized, and exact logistic models. The text illustrates how to apply the various models t
Design and Analysis of Cross-Over Trials
Design and Analysis of Cross-Over Trials is concerned with a specific kind of comparative trial known as the cross-over trial, in which subjects receive different sequences of treatments. Such trials are widely used in clinical and medical research, and in other diverse areas such as veterinary science, psychology, sports science, and agriculture.T
Depression in Later Life
The geriatric population, defined as men and women 65 years and older, is the fastest growing population in the world. While gerontology, the study of the aging process in human beings, has brought insights about the physical, emotional, and social needs of this population, little attention has been given to the mental health of the aging, and often treatable disorders are overlooked entirely. Depression is one of the leading mental disorders in any age group, but among the elderly it is often viewed as a normal part of aging. But it’s not. Depression at any age requires attention and treatment. For sufferers and their families and caregivers, this go-to guide introduces readers to depress...
Generalized Estimating Equations
Generalized Estimating Equations, Second Edition updates the best-selling previous edition, which has been the standard text on the subject since it was published a decade ago. Combining theory and application, the text provides readers with a comprehensive discussion of GEE and related models. Numerous examples are employed throughout the text, al
Observation and Experiment
A daily glass of wine prolongs life—yet alcohol can cause life-threatening cancer. Some say raising the minimum wage will decrease inequality while others say it increases unemployment. Scientists once confidently claimed that hormone replacement therapy reduced the risk of heart disease but now they equally confidently claim it raises that risk. What should we make of this endless barrage of conflicting claims? Observation and Experiment is an introduction to causal inference by one of the field’s leading scholars. An award-winning professor at Wharton, Paul Rosenbaum explains key concepts and methods through lively examples that make abstract principles accessible. He draws his example...
Robust Cluster Analysis and Variable Selection
Clustering remains a vibrant area of research in statistics. Although there are many books on this topic, there are relatively few that are well founded in the theoretical aspects. In Robust Cluster Analysis and Variable Selection, Gunter Ritter presents an overview of the theory and applications of probabilistic clustering and variable selection, synthesizing the key research results of the last 50 years. The author focuses on the robust clustering methods he found to be the most useful on simulated data and real-time applications. The book provides clear guidance for the varying needs of both applications, describing scenarios in which accuracy and speed are the primary goals. Robust Clust...
