Longitudinal data analysis for biomedical and behavioral sciences This innovative book sets forth and describes methods for the analysis of longitudinaldata, emphasizing applications to problems in the biomedical and behavioral sciences. Reflecting the growing importance and use of longitudinal data across many areas of research, the text is designed to help users of statistics better analyze and understand this type of data. Much of the material from the book grew out of a course taught by Dr. Hedeker on longitudinal data analysis. The material is, therefore, thoroughly classroom tested and includes a number of features designed to help readers better understand and apply the material. Statistical procedures featured within the text include: * Repeated measures analysis of variance * Multivariate analysis of variance for repeated measures * Random-effects regression models (RRM) * Covariance-pattern models * Generalized-estimating equations (GEE) models * Generalizations of RRM and GEE for categorical outcomes Practical in their approach, the authors emphasize the applications of the methods, using real-world examples for illustration. Some syntax examples are provided, although the authors do not generally focus on software in this book. Several datasets and computer syntax examples are posted on this title's companion Web site. The authors intend to keep the syntax examples current as new versions of the software programs emerge. This text is designed for both undergraduate and graduate courses in longitudinal data analysis. Instructors can take advantage of overheads and additional course materials available online for adopters. Applied statisticians in biomedicine and the social sciences can also use the book as a convenient reference.
Praise for the Third Edition "This is one of the best books available. Its excellent organizational structure allows quick reference to specific models and its clear presentation . . . solidifies the understanding of the concepts being presented." —IIE Transactions on Operations Engineering Thoroughly revised and expanded to reflect the latest developments in the field, Fundamentals of Queueing Theory, Fourth Edition continues to present the basic statistical principles that are necessary to analyze the probabilistic nature of queues. Rather than presenting a narrow focus on the subject, this update illustrates the wide-reaching, fundamental concepts in queueing theory and its applications to diverse areas such as computer science, engineering, business, and operations research. This update takes a numerical approach to understanding and making probable estimations relating to queues, with a comprehensive outline of simple and more advanced queueing models. Newly featured topics of the Fourth Edition include: Retrial queues Approximations for queueing networks Numerical inversion of transforms Determining the appropriate number of servers to balance quality and cost of service Each chapter provides a self-contained presentation of key concepts and formulae, allowing readers to work with each section independently, while a summary table at the end of the book outlines the types of queues that have been discussed and their results. In addition, two new appendices have been added, discussing transforms and generating functions as well as the fundamentals of differential and difference equations. New examples are now included along with problems that incorporate QtsPlus software, which is freely available via the book's related Web site. With its accessible style and wealth of real-world examples, Fundamentals of Queueing Theory, Fourth Edition is an ideal book for courses on queueing theory at the upper-undergraduate and graduate levels. It is also a valuable resource for researchers and practitioners who analyze congestion in the fields of telecommunications, transportation, aviation, and management science.
Hypertension is another name for high blood pressure. It can lead to severe complications and increases the risk of heart disease, stroke, and death. Blood pressure is the force exerted by the blood against the walls of the blood vessels. This book is a comprehensive guide to the diagnosis and management of high blood pressure. Divided into three sections, the text begins with an overview of the condition, current guidelines on its management, potential organ damage, and nonpharmacological treatments. The next section covers the management of hypertension with associated disorders such as diabetes, cardiovascular disease, stroke, kidney disease, and more. A complete chapter discusses ‘white coat’ hypertension. The final section discusses management approaches when initial treatment fails, and hypertensive emergencies. Each chapter is presented as a case scenario, describing background, previous control attempts, challenges and treatments. Authored by experts from the University of South Carolina, the text is further enhanced by clinical images, figures and tables. Key points Comprehensive guide to diagnosis and management of hypertension Chapters presented as step by step case scenarios Covers treatment of hypertension with associated conditions Authored by experts from the University of South Carolina
Greedy corporate interests have been lying to us for centuries. Here’s an illustrated, entertaining road map for navigating through their hypocrisy and deception From praising the health benefits of cigarettes to moralizing on the character-building qualities of child labor, rich corporate overlords have gone to astonishing, often morally indefensible lengths to defend their profits. Since the dawn of capitalism, they’ve told the same lies over and over to explain why their bottom line is always more important than the greater good: You say you want to raise the federal minimum wage? Why, you’ll only make things worse for the very people you want to help! Should we hold polluters accountable for the toxins they’re dumping in our air and water? No, the free market will save us! Can we raise taxes on the rich to pay for universal healthcare? Of course not—that will kill jobs! Affordable childcare? Socialism! It’s always the same tired threats and finger-pointing, in a concentrated campaign to keep wealth and power in the hands of the wealthy and powerful. Corporate Bullsh*t will help you identify this pernicious propaganda for the wealthiest 1 percent, and teach you how to fight back. Structured around some of the most egregious statements ever made by the rich and powerful, the book identifies six categories of falsehoods that repeatedly thwart progress on issues including civil rights, wealth inequality, climate change, voting rights, gun responsibility, and more. With amazing illustrations and a sharp sense of humor, Corporate Bullsh*t teaches readers how to never get conned, bamboozled, or ripped off ever again.
This book, designed for professionals, introduces a psychobiological model for understanding the paths that lead people to illness and provides recommendations for alterations of maladaptive pathways so that health is regained. Research findings are incorporated to identify causal variables for illness that can be targets for change. Evidence based recommendations for healthy behaviors and therapies are described. Throughout the book, the authors emphasize recognition of turning points on the path to illness that, through informed decision making and implementation of behavioral change, can be re-directed to pathways to health. This book presents case material to illustrate the directions that lead people to illness or to health. The pathways metaphor provides an organizing force, both in addressing variables contributing to illness onset, and in identifying interventions to restore health. This approach will guide the clinician to understanding how people become ill and the types of interventions that are appropriate for stress related illnesses. The clinician will also become better informed about ways to help clients make better decisions, mobilize clients’ survival skills, and implement an interactive model of care. The book includes chapters on stress-related illnesses with high prevalence in today’s society. For each illness, the genetic-psychobiological etiology is explored with enough detail so that the clinician understands the best method of patient assessment and treatment. One of the strengths of the book is the step-wise system of interventions that are applied to the stress-related illnesses. Beginning with re-establishment of normal daily psychobiological rhythms and continuing to evidence based state of the art interventions, the professional is presented with detailed intervention plans. For example, the section on "Applications to common illnesses: metabolic disorders of behavior: diabetes, hypertension, and hyperlipidemia" considers the confluence of genetics, behavior, and maladaptive mind body interactions to produce the metabolic syndrome. Then the personal and professional assessments are described to establish the baseline for recommending treatment while fully engaging the patient. Finally, multilevel interventions are formulated for these disorders. The plan begins with clinician guided self care recommendations to re-establish the normal rhythm of appetite and satiety. The next level of interventions consists of skill building techniques, such as relaxation and imagery. Lastly, psychotherapy and advanced applied psychophysiological interventions are detailed. Case examples are used throughout to illustrate the pathways to illness, the turning points, and the pathways to health. From the patients’ viewpoints, the pathways metaphor is a motivator. The patient is guided to understand the paths that led to illness. Subsequently, the patient becomes empowered by the pathways framework to begin to make choices that lead to health.
For students of health education, this volume advocates a combined cognitive-behavioral approach which aims to identify unhealthy behaviors and their cognitive support and then design and implement learning experiences that will help effect change. Annotation copyrighted by Book News, Inc., Portland, OR
Longitudinal data analysis for biomedical and behavioral sciences This innovative book sets forth and describes methods for the analysis of longitudinaldata, emphasizing applications to problems in the biomedical and behavioral sciences. Reflecting the growing importance and use of longitudinal data across many areas of research, the text is designed to help users of statistics better analyze and understand this type of data. Much of the material from the book grew out of a course taught by Dr. Hedeker on longitudinal data analysis. The material is, therefore, thoroughly classroom tested and includes a number of features designed to help readers better understand and apply the material. Statistical procedures featured within the text include: * Repeated measures analysis of variance * Multivariate analysis of variance for repeated measures * Random-effects regression models (RRM) * Covariance-pattern models * Generalized-estimating equations (GEE) models * Generalizations of RRM and GEE for categorical outcomes Practical in their approach, the authors emphasize the applications of the methods, using real-world examples for illustration. Some syntax examples are provided, although the authors do not generally focus on software in this book. Several datasets and computer syntax examples are posted on this title's companion Web site. The authors intend to keep the syntax examples current as new versions of the software programs emerge. This text is designed for both undergraduate and graduate courses in longitudinal data analysis. Instructors can take advantage of overheads and additional course materials available online for adopters. Applied statisticians in biomedicine and the social sciences can also use the book as a convenient reference.
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