Dynamical Biostatistical Models presents statistical models and methods for the analysis of longitudinal data. The book focuses on models for analyzing repeated measures of quantitative and qualitative variables and events history, including survival and multistate models. Most of the advanced methods, such as multistate and joint models, can be ap
There have been many advances in the theory and applications of discrete distributions in recent years. They can be applied to a wide range of problems, particularly in the health sciences, although a good understanding of their properties is very important. Discrete Distributions: Applications in the Health Sciences describes a number of new discrete distributions that arise in the statistical examination of real examples. For each example, an understanding of the issues surrounding the data provides the motivation for the subsequent development of the statistical models. Provides an overview of discrete distributions and their applications in the health sciences. Focuses on real examples, giving readers an insight into the utility of the models. Describes the properties of each distribution, and the methods that led to their development. Presents a range of examples from the health sciences, including cancer, epidemiology, and demography. Features discussion of software implementation – in SAS, Fortran and R – enabling readers to apply the methods to their own problems. Written in an accessible style, suitable for applied statisticians and numerate health scientists. Software and data sets are made available on the Web. Discrete Distributions: Applications in the Health Sciences provides a practical introduction to these powerful statistical tools and their applications, suitable for researchers and graduate students from statistics and biostatistics. The focus on applications, and the accessible style of the book, make it an excellent practical reference source for practitioners from the health sciences.
In one sense, human heads function much like those of other mammals. We use them to chew, smell, swallow, think, hear, and so on. But, in other respects, the human head is quite unusual. Unlike other animals, even our great ape cousins, our heads are short and wide, very big brained, snoutless, largely furless, and perched on a short, nearly vertical neck. Daniel E. Lieberman sets out to explain how the human head works, and why our heads evolved in this peculiarly human way. Exhaustively researched and years in the making, this innovative book documents how the many components of the head function, how they evolved since we diverged from the apes, and how they interact in diverse ways both functionally and developmentally, causing them to be highly integrated. This integration not only permits the head’s many units to accommodate each other as they grow and work, but also facilitates evolutionary change. Lieberman shows how, when, and why the major transformations evident in the evolution of the human head occurred. The special way the head is integrated, Lieberman argues, made it possible for a few developmental shifts to have had widespread effects on craniofacial growth, yet still permit the head to function exquisitely. This is the first book to explore in depth what happened in human evolution by integrating principles of development and functional morphology with the hominin fossil record. The Evolution of the Human Head will permanently change the study of human evolution and has widespread ramifications for thinking about other branches of evolutionary biology.
This Advanced Introduction provides a critical review and discussion of research concerning spatial statistics, differentiating between it and spatial econometrics, to answer a set of core questions covering the geographic-tagging-of-data origins of the concept and its theoretical underpinnings, conceptual advances, and challenges for future scholarly work. It offers a vital tool for understanding spatial statistics and surveys how concerns about violating the independent observations assumption of statistical analysis developed into this discipline.
Now in its Fifth Edition, Neuropsychological Assessment reviews the major neurobehavioral disorders associated with brain dysfunction and injury. This is the 35th anniversary of the landmark first edition. As with previous editions, this edition provides a comprehensive coverage of the field of adult clinical neuropsychology in a single source. By virtue of the authors' clinical and research specializations, this book provides a broad-based and in-depth coverage of current neuroscience research and clinical neuropsychology practice. While the new edition is updated to include new features and topics, it remains true to the highly-regarded previous editions. Methods for obtaining optimum data are given in the form of hypothesis-testing techniques, clinical tips, and clinical examples. In the seven years since the previous edition, many advancements have been made in techniques for examining brain function and in our knowledge about brain-behavior relationships. For example, a surge of functional imaging data has emerged and new structural imaging techniques have provided exquisite detail about brain structure. For the first time, this edition includes examples of these advancements, many in stunning color. This edition also includes new tools for clinicians such as a neuroimaging primer and a comparison table of the neuropsychological features of progressive dementias. The chapters on assessment procedures include discussion of issues related to test selection and reviews of recently published as well as older test batteries used in general neuropsychological assessment, plus newly developed batteries for specific issues.
This book presents a historical panorama of the evolution of demographic thought from its eighteenth-century origins up to the present day. The book uses this to demonstrate how the multilevel approach can resolve some of the contradictions that have become apparent and achieve a synthesis of the different approaches employed. This is both a textbook and an assessment of the multilevel analysis that broadens the scope of demography with its approach.
For three decades psychiatrists have turned to Lishman's Organic Psychiatry as the standard neuropsychiatry reference. It stood as the last great single author reference text in medicine, a combination of meticulous, exhaustive research conveyed in a beautifully clear style. Now the mantle has been passed to a group of five distinguished authors and it is to their considerable credit that the attributes which made Organic Psychiatry such a distinctive voice remain. The fourth Edition of Lishman's Organic Psychiatry is a rich blend of detailed clinical inquiry and up to date neuroscience. It should be on every psychiatrist;s book shelf." —Anthony Feinstein, MPhil, PhD., FRCP, Professor, Department of Psychiatry, University of Toronto, Canada Over the past 30 years, thousands of physicians have depended on Lishman's Organic Psychiatry. Its authoritative and reliable clinical guidance was - and still is - beyond compare. The new edition of this classic textbook has now been extensively revised by a team of five authors, yet it follows the tradition of the original single-authored book. It continues to provide a comprehensive review of the cognitive, emotional and behavioural consequences of cerebral disorders and their manifestations in clinical practice. Enabling clinicians to formulate incisive diagnoses and appropriate treatment strategies, Lishman's Organic Psychiatry is an invaluable source of information for practising psychiatrists, neurologists and trainees. This new edition: covers recent theoretical and clinical developments, with expanded sections on neuropsychology and neuroimaging includes a new chapter on sleep disorders whilst the chapters on Alzheimer's disease and related dementias, Epilepsy, Movement disorders and Traumatic brain injury have been extensively revised reflecting the greatly improved understanding of their underlying pathophysiologies showcases the huge advances in brain imaging and important discoveries in the fields of molecular biology and molecular genetics has been enhanced with the inclusion of more tables and illustrations to aid clinical assessment incorporates important diagnostic tools such as magnetic resonance brain images.
Dynamical Biostatistical Models presents statistical models and methods for the analysis of longitudinal data. The book focuses on models for analyzing repeated measures of quantitative and qualitative variables and events history, including survival and multistate models. Most of the advanced methods, such as multistate and joint models, can be ap
In these meditations Daniel Bourguet enables us to draw alongside the thief on the cross and enter his dialogue with Christ; he guides us downward into the darkness of hell through a reading of Psalm 88; and finally we discover on Easter morning both the confusion and then faith of Mary Magdalene as she meets the Risen Lord (John 20). Bourguet's confidence in the biblical text means that he engages with it and follows wherever it leads, however risky . . . and he emerges--with us--miraculously enriched.
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