ABSTRACTS OF PAPERS- 30TH ANNUAL MEETING- AMERICAN SOCIETY FOR THE STUDY OF ARTERIOSCLEROSIS- AMERICAN HEART ASSOCIATION- COUNCIL ON ARTERIOSCLEROSIS- 2ND NATIONAL CONFERENCE ON THROMBOSIS AND HEMOSTASIS- AMERICAN HEART ASSOCIATION COUNCIL ON THROMBOSIS- 49TH SCIENTIFIC SESSIONS- AMERICAN HEART ASSOCIATION. PDF Download
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Languages : en
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Category : Union catalogs
Languages : en
Pages : 1032
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Includes entries for maps and atlases.
Author: National Library of Medicine (U.S.)
Publisher:
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Category : Medicine
Languages : en
Pages :
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Book Description
First multi-year cumulation covers six years: 1965-70.
Author: Canada Institute for Scientific and Technical Information
Publisher:
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Category :
Languages : en
Pages : 182
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Book Description
Author: John D. Clough
Publisher:
ISBN: 9781596240001
Category : History
Languages : en
Pages : 416
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Book Description
Tracing the history of the Cleveland Clinic from its start as a small not-for-profit group practice to being the world's second largest private academic medical center, this medical history tells one of the most dramatic stories in modern medicine. Starting on the battlefield hospitals of World War I, this details how the clinic achieved medical firsts, such as the discovery of coronary angiography and the world's first successful larynx transplant, improved hospital safety, and met the challenges of the 21st century to be ranked among the top five hospitals in America. This text not only recounts the history of the clinic but presents a model for other not-for-profit organizations on how to endure and thrive.
Author: José M. Bernardo
Publisher: Oxford University Press
ISBN: 0199694583
Category : Mathematics
Languages : en
Pages : 717
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Book Description
Bayesian statistics is a dynamic and fast-growing area of statistical research and the Valencia International Meetings provide the main forum for discussion. These resulting proceedings form an up-to-date collection of research.
Author: Jose M. Wiley
Publisher: John Wiley & Sons
ISBN: 1119283515
Category : Medical
Languages : en
Pages : 328
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Book Description
A practical resource covering both elective and emergency procedures for the practicing vascular and endovascular clinician This book provides medical professionals (vascular surgeons, interventional cardiologists, interventional radiologists, endovascular neurologists, vascular medicine specialists) with a reference guide to the most common and accepted approach to endovascular management of peripheral vascular disease. It also addresses urgent interventions in the acute setting of the various vascular beds, and covers emerging areas such as stroke intervention and endovascular treatment of pulmonary embolism and vascular trauma. Edited by a multidisciplinary team, Endovascular Interventions offers in-depth coverage of the field in seven parts: Overview; Supra-Aortic Intervention in High Risk Patients: Innominate, Subclavian, Carotid, Vertebral and Intracranial Interventions; Interventions of the Aorta; Renal and Mesenteric Interventions; Lower Extremity Interventions; Venous Disease; and Vascular Trauma. Each section covers the technical aspects of the procedures as well as the fundamental clinical aspects which are necessary in the evaluation of patients considered for interventions. Chapters feature illustrations, case studies, key learning points, equipment lists, and sample questions and answers which can be used for Board exam practice. Practical review of vascular and endovascular medicine covering both elective and emergency procedures Illustrated, templated chapters provide rapid answers to questions and include case studies, key learning points, and equipment lists Includes sample questions and answers that are handy for Board exam practice Edited by multidisciplinary experts Endovascular Interventions is an excellent review book for all practicing and aspiring vascular and endovascular specialists.
Author: Danyu Lin
Publisher: Springer Science & Business Media
ISBN: 1441990763
Category : Medical
Languages : en
Pages : 332
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Book Description
This volume contains a selection of papers presented at the Second Seattle Symposium in Biostatistics: Analysis of Correlated Data. The symposium was held in 2000 to celebrate the 30th anniversary of the University of Washington School of Public Health and Community Medicine. It featured keynote lectures by Norman Breslow, David Cox and Ross Prentice and 16 invited presentations by other prominent researchers. The papers contained in this volume encompass recent methodological advances in several important areas, such as longitudinal data, multivariate failure time data and genetic data, as well as innovative applications of the existing theory and methods. This volume is a valuable reference for researchers and practitioners in the field of correlated data analysis.
Author: David Dunson
Publisher: Springer Science & Business Media
ISBN: 0387767215
Category : Mathematics
Languages : en
Pages : 174
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Book Description
Random Effect and Latent Variable Model Selection In recent years, there has been a dramatic increase in the collection of multivariate and correlated data in a wide variety of ?elds. For example, it is now standard pr- tice to routinely collect many response variables on each individual in a study. The different variables may correspond to repeated measurements over time, to a battery of surrogates for one or more latent traits, or to multiple types of outcomes having an unknown dependence structure. Hierarchical models that incorporate subje- speci?c parameters are one of the most widely-used tools for analyzing multivariate and correlated data. Such subject-speci?c parameters are commonly referred to as random effects, latent variables or frailties. There are two modeling frameworks that have been particularly widely used as hierarchical generalizations of linear regression models. The ?rst is the linear mixed effects model (Laird and Ware , 1982) and the second is the structural equation model (Bollen , 1989). Linear mixed effects (LME) models extend linear regr- sion to incorporate two components, with the ?rst corresponding to ?xed effects describing the impact of predictors on the mean and the second to random effects characterizing the impact on the covariance. LMEs have also been increasingly used for function estimation. In implementing LME analyses, model selection problems are unavoidable. For example, there may be interest in comparing models with and without a predictor in the ?xed and/or random effects component.
Author: Joachim Hartung
Publisher: John Wiley & Sons
ISBN: 1118210964
Category : Medical
Languages : en
Pages : 215
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Book Description
An accessible introduction to performing meta-analysis across various areas of research The practice of meta-analysis allows researchers to obtain findings from various studies and compile them to verify and form one overall conclusion. Statistical Meta-Analysis with Applications presents the necessary statistical methodologies that allow readers to tackle the four main stages of meta-analysis: problem formulation, data collection, data evaluation, and data analysis and interpretation. Combining the authors' expertise on the topic with a wealth of up-to-date information, this book successfully introduces the essential statistical practices for making thorough and accurate discoveries across a wide array of diverse fields, such as business, public health, biostatistics, and environmental studies. Two main types of statistical analysis serve as the foundation of the methods and techniques: combining tests of effect size and combining estimates of effect size. Additional topics covered include: Meta-analysis regression procedures Multiple-endpoint and multiple-treatment studies The Bayesian approach to meta-analysis Publication bias Vote counting procedures Methods for combining individual tests and combining individual estimates Using meta-analysis to analyze binary and ordinal categorical data Numerous worked-out examples in each chapter provide the reader with a step-by-step understanding of the presented methods. All exercises can be computed using the R and SAS software packages, which are both available via the book's related Web site. Extensive references are also included, outlining additional sources for further study. Requiring only a working knowledge of statistics, Statistical Meta-Analysis with Applications is a valuable supplement for courses in biostatistics, business, public health, and social research at the upper-undergraduate and graduate levels. It is also an excellent reference for applied statisticians working in industry, academia, and government.
