This book introduces advanced undergraduate, graduate students and practitioners to statistical methods for ranking data. An important aspect of nonparametric statistics is oriented towards the use of ranking data. Rank correlation is defined through the notion of distance functions and the notion of compatibility is introduced to deal with incomplete data. Ranking data are also modeled using a variety of modern tools such as CART, MCMC, EM algorithm and factor analysis. This book deals with statistical methods used for analyzing such data and provides a novel and unifying approach for hypotheses testing. The techniques described in the book are illustrated with examples and the statistical software is provided on the authors’ website.
This book demonstrates that nonparametric statistics can be taught from a parametric point of view. As a result, one can exploit various parametric tools such as the use of the likelihood function, penalized likelihood and score functions to not only derive well-known tests but to also go beyond and make use of Bayesian methods to analyze ranking data. The book bridges the gap between parametric and nonparametric statistics and presents the best practices of the former while enjoying the robustness properties of the latter. This book can be used in a graduate course in nonparametrics, with parts being accessible to senior undergraduates. In addition, the book will be of wide interest to statisticians and researchers in applied fields.
Put the world's most well-known kidney reference to work in your practice with the 11th Edition of Brenner & Rector's The Kidney. This two-volume masterwork provides expert, well-illustrated information on everything from basic science and pathophysiology to clinical best practices. Addressing current issues such as new therapies for cardiorenal syndrome, the increased importance of supportive or palliative care in advanced chronic kidney disease, increasing live kidney donation in transplants, and emerging discoveries in stem cell and kidney regeneration, this revised edition prepares you for any clinical challenge you may encounter. - Extensively updated chapters throughout, providing the latest scientific and clinical information from authorities in their respective fields. - Lifespan coverage of kidney health and disease from pre-conception through fetal and infant health, childhood, adulthood, and old age. - Discussions of today's hot topics, including the global increase in acute kidney injury, chronic kidney disease of unknown etiology, cardiovascular disease and renal disease, and global initiatives for alternatives in areas with limited facilities for dialysis or transplant. - New Key Points that represent either new findings or "pearls" of information that are not widely known or understood. - New Clinical Relevance boxes that highlight the information you must know during a patient visit, such as pertinent physiology or pathophysiology. - Hundreds of full-color, high-quality photographs as well as carefully chosen figures, algorithms, and tables that illustrate essential concepts, nuances of clinical presentation and technique, and clinical decision making. - A new editor who is a world-renowned expert in global health and nephrology care in underserved populations, Dr. Valerie A. Luyckx from University of Zürich. - Board review-style questions to help you prepare for certification or recertification. - Enhanced eBook version included with purchase, which allows you to access all of the text, figures, and references from the book on a variety of devices
The first textbook to fully cover the revolution in pulmonary pathology Lung and Pleural Pathology goes beyond the scope of traditional pulmonary pathology textbooks by analyzing all of the changing paradigms that are reshaping pulmonary pathology practice. Authored by renowned pulmonary pathologists, it is the one comprehensive, up-to-date pulmonary pathology textbook that covers important new clinical approaches, including new WHO classification of lung cancer; the current status of lung cancer biomarkers; and emerging concepts in lung fibrosis and interstitial lung diseases, which have implications for newer treatments. The book also discusses the identification and characterization of recently publicized pulmonary infections. Encompassing text, abundant color figures, and multiple tables, Lung and Pleural Pathology is a practical yet complete guide to the current pathologic diagnosis of pulmonary disease, including: · Emerging pulmonary diseases · Latest classifications of lung cancer and non-neoplastic diseases · Biomarkers in lung cancer · Pediatric pulmonary pathology · Smoking-related lung diseases · Small airways disease · Acute lung injury · Pulmonary lymphomas · Lung transplant pathology Philip T. Cagle, MD is Medical Director, Pulmonary Pathology, Department of Pathology and Genomic Medicine, The Methodist Hospital Research Institute, Houston, Texas; and Professor of Pathology and Laboratory Medicine, Weill Cornell Medical College of Cornell University, New York, New York. Timothy C. Allen, MD is Professor, Department of Pathology; and Director of Anatomic Pathology, The University of Texas Medical Branch, Galveston.
This book introduces advanced undergraduate, graduate students and practitioners to statistical methods for ranking data. An important aspect of nonparametric statistics is oriented towards the use of ranking data. Rank correlation is defined through the notion of distance functions and the notion of compatibility is introduced to deal with incomplete data. Ranking data are also modeled using a variety of modern tools such as CART, MCMC, EM algorithm and factor analysis. This book deals with statistical methods used for analyzing such data and provides a novel and unifying approach for hypotheses testing. The techniques described in the book are illustrated with examples and the statistical software is provided on the authors’ website.
This book demonstrates that nonparametric statistics can be taught from a parametric point of view. As a result, one can exploit various parametric tools such as the use of the likelihood function, penalized likelihood and score functions to not only derive well-known tests but to also go beyond and make use of Bayesian methods to analyze ranking data. The book bridges the gap between parametric and nonparametric statistics and presents the best practices of the former while enjoying the robustness properties of the latter. This book can be used in a graduate course in nonparametrics, with parts being accessible to senior undergraduates. In addition, the book will be of wide interest to statisticians and researchers in applied fields.
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