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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 ...
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
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 d
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.--AMAZON.
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
In the face of conflicting claims about some treatments, behaviors, and policies, the question arises: What is the most scientifically rigorous way to draw conclusions about cause and effect in the study of humans? In this introduction to causal inference, Paul Rosenbaum explains key concepts and methods through real-world examples.
