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Author : Heping Zhang
Publisher :
ISBN 13 : 9781475730289
Total Pages : 240 pages
Book Rating : 4.7/5 (32 download)
Download or read book Recursive Partitioning in the Health Sciences written by Heping Zhang and published by . This book was released on 2014-01-15 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Heping Zhang
Publisher : Springer Science & Business Media
ISBN 13 : 1475730276
Total Pages : 229 pages
Book Rating : 4.4/5 (757 download)
Download or read book Recursive Partitioning in the Health Sciences written by Heping Zhang and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: A demonstration of the recursive partitioning methodology and its effectiveness as a response to the challenge of analysing and interpreting multiple complex pathways to many illnesses, diseases, and ultimately death. For comparison purposes, standard regression methods are presented briefly and then applied in the examples. This book is suitable for three broad groups of readers: biomedical researchers, clinicians, public health practitioners including epidemiologists, health service researchers, and environmental policy advisers; consulting statisticians who can use the recursive partitioning technique as a guide in providing effective and insightful solutions to clients'problems; and statisticians interested in methodological and theoretical issues. The book provides an up-to-date summary of the methodological and theoretical underpinnings of recursive partitioning, as well as a host of unsolved problems the solutions of which would advance the rigorous underpinnings of statistics in general.
Author : Heping Zhang
Publisher : Springer Science & Business Media
ISBN 13 : 1441968245
Total Pages : 267 pages
Book Rating : 4.4/5 (419 download)
Download or read book Recursive Partitioning and Applications written by Heping Zhang and published by Springer Science & Business Media. This book was released on 2010-07-01 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiple complex pathways, characterized by interrelated events and c- ditions, represent routes to many illnesses, diseases, and ultimately death. Although there are substantial data and plausibility arguments suppo- ing many conditions as contributory components of pathways to illness and disease end points, we have, historically, lacked an e?ective method- ogy for identifying the structure of the full pathways. Regression methods, with strong linearity assumptions and data-basedconstraints onthe extent and order of interaction terms, have traditionally been the strategies of choice for relating outcomes to potentially complex explanatory pathways. However, nonlinear relationships among candidate explanatory variables are a generic feature that must be dealt with in any characterization of how health outcomes come about. It is noteworthy that similar challenges arise from data analyses in Economics, Finance, Engineering, etc. Thus, the purpose of this book is to demonstrate the e?ectiveness of a relatively recently developed methodology—recursive partitioning—as a response to this challenge. We also compare and contrast what is learned via rec- sive partitioning with results obtained on the same data sets using more traditional methods. This serves to highlight exactly where—and for what kinds of questions—recursive partitioning–based strategies have a decisive advantage over classical regression techniques.
Author : Heping Zhang
Publisher : Springer
ISBN 13 : 9781441968234
Total Pages : 262 pages
Book Rating : 4.9/5 (682 download)
Download or read book Recursive Partitioning and Applications written by Heping Zhang and published by Springer. This book was released on 2010-07-19 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiple complex pathways, characterized by interrelated events and c- ditions, represent routes to many illnesses, diseases, and ultimately death. Although there are substantial data and plausibility arguments suppo- ing many conditions as contributory components of pathways to illness and disease end points, we have, historically, lacked an e?ective method- ogy for identifying the structure of the full pathways. Regression methods, with strong linearity assumptions and data-basedconstraints onthe extent and order of interaction terms, have traditionally been the strategies of choice for relating outcomes to potentially complex explanatory pathways. However, nonlinear relationships among candidate explanatory variables are a generic feature that must be dealt with in any characterization of how health outcomes come about. It is noteworthy that similar challenges arise from data analyses in Economics, Finance, Engineering, etc. Thus, the purpose of this book is to demonstrate the e?ectiveness of a relatively recently developed methodology—recursive partitioning—as a response to this challenge. We also compare and contrast what is learned via rec- sive partitioning with results obtained on the same data sets using more traditional methods. This serves to highlight exactly where—and for what kinds of questions—recursive partitioning–based strategies have a decisive advantage over classical regression techniques.
Author : Carol D. Ryff
Publisher : Oxford University Press
ISBN 13 : 0190676396
Total Pages : 616 pages
Book Rating : 4.1/5 (96 download)
Download or read book The Oxford Handbook of Integrative Health Science written by Carol D. Ryff and published by Oxford University Press. This book was released on 2018-10-03 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most health research to date has been pursued within the confines of scientific disciplines that are guided by their own targeted questions and research strategies. Although useful, such inquiries are inherently limited in advancing understanding the interplay of wide-ranging factors that shape human health. The Oxford Handbook of Integrative Health Science embraces an integrative approach that seeks to put together sociodemographic factors (age, gender, race, socioeconomic status) known to contour rates of morbidity and mortality with psychosocial factors (emotion, cognition, personality, well-being, social connections), behavioral factors (health practices) and stress exposures (caregiving responsibilities, divorce, discrimination) also known to influence health. A further overarching theme is to explicate the biological pathways through which these various effects occur. The biopsychosocial leitmotif that inspires this approach demands new kinds of studies wherein wide-ranging assessments across different domains are assembled on large population samples. The MIDUS (Midlife in the U.S.) national longitudinal study exemplifies such an integrative study, and all findings presented in this collection draw on MIDUS. The way the study evolved, via collaboration of scientists working across disciplinary lines, and its enthusiastic reception from the scientific community are all part of the larger story told. Embedded within such tales are important advances in the identification of key protective or vulnerability factors: these pave the way for practice and policy initiatives seeking to improve the nation's health.
Author : Ravindra Khattree
Publisher : CRC Press
ISBN 13 : 9781420010923
Total Pages : 432 pages
Book Rating : 4.0/5 (19 download)
Download or read book Computational Methods in Biomedical Research written by Ravindra Khattree and published by CRC Press. This book was released on 2007-12-12 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Continuing advances in biomedical research and statistical methods call for a constant stream of updated, cohesive accounts of new developments so that the methodologies can be properly implemented in the biomedical field. Responding to this need, Computational Methods in Biomedical Research explores important current and emerging computational statistical methods that are used in biomedical research. Written by active researchers in the field, this authoritative collection covers a wide range of topics. It introduces each topic at a basic level, before moving on to more advanced discussions of applications. The book begins with microarray data analysis, machine learning techniques, and mass spectrometry-based protein profiling. It then uses state space models to predict US cancer mortality rates and provides an overview of the application of multistate models in analyzing multiple failure times. The book also describes various Bayesian techniques, the sequential monitoring of randomization tests, mixed-effects models, and the classification rules for repeated measures data. The volume concludes with estimation methods for analyzing longitudinal data. Supplying the knowledge necessary to perform sophisticated statistical analyses, this reference is a must-have for anyone involved in advanced biomedical and pharmaceutical research. It will help in the quest to identify potential new drugs for the treatment of a variety of diseases.
Author : Sarah Boslaugh
Publisher : SAGE
ISBN 13 : 1412928168
Total Pages : 1241 pages
Book Rating : 4.4/5 (129 download)
Download or read book Encyclopedia of Epidemiology written by Sarah Boslaugh and published by SAGE. This book was released on 2008 with total page 1241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents information from the field of epidemiology in a less technical, more accessible format. Covers major topics in epidemiology, from risk ratios to case-control studies to mediating and moderating variables, and more. Relevant topics from related fields such as biostatistics and health economics are also included.
Author : Frank Kessel
Publisher : Oxford University Press, USA
ISBN 13 : 0198043546
Total Pages : 510 pages
Book Rating : 4.1/5 (98 download)
Download or read book Interdisciplinary Research : Case Studies from Health and Social Science written by Frank Kessel and published by Oxford University Press, USA. This book was released on 2008-03-11 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interdisciplinary research now receives a great deal of attention because of the rich, creative contributions it often generates. But a host of factors--institutional, interpersonal and intellectual--also make a daunting challenge of conducting research outside one's usual domain. This newly updated and revised edition of Interdisciplinary Research is a substantive and practical guide to the most effective avenues for collaborative and integrative research in the social, behavioral, and bio-medical sciences. It provides answers to questions such as what is the best way to conduct interdisciplinary research on topics related to human health, behavior, and development? Which are the most successful interdisciplinary research programs in these areas? How do you identify appropriate collaborators? How do you find dedicated funding streams? How do you overcome peer-review and publishing challenges? This is the only book that provides answers directly from researchers who have carried out successful interdisciplinary programs. The editors give a concise of account of the lessons that can be taken from the book, and then present a series of case studies that reveal the most successful interdisciplinary research programs. These programs provide a variety of models of how best to undertake interdisciplinary research. Each of the chapter authors has carried out innovative, collaborative programs, and all give compelling accounts of the benefits of interdisciplinary research and the central strategies required to achieve them.
Author : Frank Kessel
Publisher : Oxford University Press
ISBN 13 : 0190295902
Total Pages : 512 pages
Book Rating : 4.1/5 (92 download)
Download or read book Expanding the Boundaries of Health and Social Science written by Frank Kessel and published by Oxford University Press. This book was released on 2008-04-01 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is now widely recognized that research on human health requires more than a focus on human biology and disease entities. Lifestyles, attitudes, stress, education, income--all are now understood to contribute to the spread of disease, the effectiveness of curative therapies, and the prevention of illness, as well as to good health and an enhanced sense of well-being. However, despite such developments and the rise of interdisciplinary research, there is still considerable debate about how best to conduct research and shape policies that insightfully integrate concepts and methods drawn from the full range of the health, social, and behavioral sciences. Moreover, scholars and researchers who wish to engage in such interdisciplinary inquiry have no texts that serve as substantive and practical guides to the most effective avenues. This volume fills this unfortunate gap by presenting a series of case studies that provide a variety of illustrative models of how best to undertake interdisciplinary research on health. All the authors have successfully carried out innovative, collaborative research programs; they give compelling accounts of the benefits of interdisciplinary research, and the central strategies required for successfully achieving such benefits. This volume will be an invaluable resource for scholars and scientists, as well as for decision-makers in academic settings, foundations, and government agencies seeking to develop and promote interdisciplinary programs that expand the boundaries of research dedicated to improving human health and well-being.
Author : John J. McArdle
Publisher : Routledge
ISBN 13 : 1135044090
Total Pages : 496 pages
Book Rating : 4.1/5 (35 download)
Download or read book Contemporary Issues in Exploratory Data Mining in the Behavioral Sciences written by John J. McArdle and published by Routledge. This book was released on 2013-08-15 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews the latest techniques in exploratory data mining (EDM) for the analysis of data in the social and behavioral sciences to help researchers assess the predictive value of different combinations of variables in large data sets. Methodological findings and conceptual models that explain reliable EDM techniques for predicting and understanding various risk mechanisms are integrated throughout. Numerous examples illustrate the use of these techniques in practice. Contributors provide insight through hands-on experiences with their own use of EDM techniques in various settings. Readers are also introduced to the most popular EDM software programs. A related website at http://mephisto.unige.ch/pub/edm-book-supplement/offers color versions of the book’s figures, a supplemental paper to chapter 3, and R commands for some chapters. The results of EDM analyses can be perilous – they are often taken as predictions with little regard for cross-validating the results. This carelessness can be catastrophic in terms of money lost or patients misdiagnosed. This book addresses these concerns and advocates for the development of checks and balances for EDM analyses. Both the promises and the perils of EDM are addressed. Editors McArdle and Ritschard taught the "Exploratory Data Mining" Advanced Training Institute of the American Psychological Association (APA). All contributors are top researchers from the US and Europe. Organized into two parts--methodology and applications, the techniques covered include decision, regression, and SEM tree models, growth mixture modeling, and time based categorical sequential analysis. Some of the applications of EDM (and the corresponding data) explored include: selection to college based on risky prior academic profiles the decline of cognitive abilities in older persons global perceptions of stress in adulthood predicting mortality from demographics and cognitive abilities risk factors during pregnancy and the impact on neonatal development Intended as a reference for researchers, methodologists, and advanced students in the social and behavioral sciences including psychology, sociology, business, econometrics, and medicine, interested in learning to apply the latest exploratory data mining techniques. Prerequisites include a basic class in statistics.
Author : Atanu Biswas
Publisher : John Wiley & Sons
ISBN 13 : 0470181192
Total Pages : 623 pages
Book Rating : 4.4/5 (71 download)
Download or read book Statistical Advances in the Biomedical Sciences written by Atanu Biswas and published by John Wiley & Sons. This book was released on 2007-12-14 with total page 623 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Most Comprehensive and Cutting-Edge Guide to Statistical Applications in Biomedical Research With the increasing use of biotechnology in medical research and the sophisticated advances in computing, it has become essential for practitioners in the biomedical sciences to be fully educated on the role statistics plays in ensuring the accurate analysis of research findings. Statistical Advances in the Biomedical Sciences explores the growing value of statistical knowledge in the management and comprehension of medical research and, more specifically, provides an accessible introduction to the contemporary methodologies used to understand complex problems in the four major areas of modern-day biomedical science: clinical trials, epidemiology, survival analysis, and bioinformatics. Composed of contributions from eminent researchers in the field, this volume discusses the application of statistical techniques to various aspects of modern medical research and illustrates how these methods ultimately prove to be an indispensable part of proper data collection and analysis. A structural uniformity is maintained across all chapters, each beginning with an introduction that discusses general concepts and the biomedical problem under focus and is followed by specific details on the associated methods, algorithms, and applications. In addition, each chapter provides a summary of the main ideas and offers a concluding remarks section that presents novel ideas, approaches, and challenges for future research. Complete with detailed references and insight on the future directions of biomedical research, Statistical Advances in the Biomedical Sciences provides vital statistical guidance to practitioners in the biomedical sciences while also introducing statisticians to new, multidisciplinary frontiers of application. This text is an excellent reference for graduate- and PhD-level courses in various areas of biostatistics and the medical sciences and also serves as a valuable tool for medical researchers, statisticians, public health professionals, and biostatisticians.
Author : Wang, John
Publisher : IGI Global
ISBN 13 : 1591405599
Total Pages : 1382 pages
Book Rating : 4.5/5 (914 download)
Download or read book Encyclopedia of Data Warehousing and Mining written by Wang, John and published by IGI Global. This book was released on 2005-06-30 with total page 1382 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Warehousing and Mining (DWM) is the science of managing and analyzing large datasets and discovering novel patterns and in recent years has emerged as a particularly exciting and industrially relevant area of research. Prodigious amounts of data are now being generated in domains as diverse as market research, functional genomics and pharmaceuticals; intelligently analyzing these data, with the aim of answering crucial questions and helping make informed decisions, is the challenge that lies ahead. The Encyclopedia of Data Warehousing and Mining provides a comprehensive, critical and descriptive examination of concepts, issues, trends, and challenges in this rapidly expanding field of data warehousing and mining (DWM). This encyclopedia consists of more than 350 contributors from 32 countries, 1,800 terms and definitions, and more than 4,400 references. This authoritative publication offers in-depth coverage of evolutions, theories, methodologies, functionalities, and applications of DWM in such interdisciplinary industries as healthcare informatics, artificial intelligence, financial modeling, and applied statistics, making it a single source of knowledge and latest discoveries in the field of DWM.
Author : Yuichi Mori
Publisher : Springer Science & Business Media
ISBN 13 : 9783540404644
Total Pages : 1096 pages
Book Rating : 4.4/5 (46 download)
Download or read book Handbook of Computational Statistics written by Yuichi Mori and published by Springer Science & Business Media. This book was released on 2004-07-14 with total page 1096 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Computational Statistics: Concepts and Methodology is divided into four parts. It begins with an overview over the field of Computational Statistics. The second part presents several topics in the supporting field of statistical computing. Emphasis is placed on the need of fast and accurate numerical algorithms and it discusses some of the basic methodologies for transformation, data base handling and graphics treatment. The third part focuses on statistical methodology. Special attention is given to smoothing, iterative procedures, simulation and visualization of multivariate data. Finally a set of selected applications like Bioinformatics, Medical Imaging, Finance and Network Intrusion Detection highlight the usefulness of computational statistics.
Author : Dimitri Mortelmans
Publisher : Edward Elgar Publishing
ISBN 13 : 1785364987
Total Pages : 288 pages
Book Rating : 4.7/5 (853 download)
Download or read book Changing Family Dynamics and Demographic Evolution written by Dimitri Mortelmans and published by Edward Elgar Publishing. This book was released on 2016-07-27 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whether considered from an American or a European perspective, the past four decades have seen family life become increasingly complex. Changing Family Dynamics and Demographic Evolution examines the various stages of change through the image of a kaleidoscope, providing new insights into the field of family dynamics and diversity.
Author : Hamparsum Bozdogan
Publisher : CRC Press
ISBN 13 : 0203497155
Total Pages : 624 pages
Book Rating : 4.2/5 (34 download)
Download or read book Statistical Data Mining and Knowledge Discovery written by Hamparsum Bozdogan and published by CRC Press. This book was released on 2003-07-29 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: Massive data sets pose a great challenge to many cross-disciplinary fields, including statistics. The high dimensionality and different data types and structures have now outstripped the capabilities of traditional statistical, graphical, and data visualization tools. Extracting useful information from such large data sets calls for novel approache
Author : Linda George
Publisher : Academic Press
ISBN 13 : 0124172857
Total Pages : 552 pages
Book Rating : 4.1/5 (241 download)
Download or read book Handbook of Aging and the Social Sciences written by Linda George and published by Academic Press. This book was released on 2015-08-18 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Aging and the Social Sciences, Eighth Edition, presents the extraordinary growth of research on aging individuals, populations, and the dynamic culmination of the life course, providing a comprehensive synthesis and review of the latest research findings in the social sciences of aging. As the complexities of population dynamics, cohort succession, and policy changes modify the world and its inhabitants in ways that must be vigilantly monitored so that aging research remains relevant and accurate, this completely revised edition not only includes the foundational, classic themes of aging research, but also a rich array of emerging topics and perspectives that advance the field in exciting ways. New topics include families, immigration, social factors, and cognition, caregiving, neighborhoods, and built environments, natural disasters, religion and health, and sexual behavior, amongst others. Covers the key areas in sociological gerontology research in one volume, with an 80% update of the material Headed up by returning editor Linda K. George, and new editor Kenneth Ferraro, highly respected voices and researchers within the sociology of aging discipline Assists basic researchers in keeping abreast of research and clinical findings Includes theory and methods, aging and social structure, social factors and social institutions, and aging and society Serves as a useful resource—an inspiration to those searching for ways to contribute to the aging enterprise, and a tribute to the rich bodies of scholarship that comprise aging research in the social sciences
Author : Lu Ying
Publisher : World Scientific
ISBN 13 : 9814583324
Total Pages : 1472 pages
Book Rating : 4.8/5 (145 download)
Download or read book Advanced Medical Statistics (2nd Edition) written by Lu Ying and published by World Scientific. This book was released on 2015-06-29 with total page 1472 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book aims to provide both comprehensive reviews of the classical methods and an introduction to new developments in medical statistics. The topics range from meta analysis, clinical trial design, causal inference, personalized medicine to machine learning and next generation sequence analysis. Since the publication of the first edition, there have been tremendous advances in biostatistics and bioinformatics. The new edition tries to cover as many important emerging areas and reflect as much progress as possible. Many distinguished scholars, who greatly advanced their research areas in statistical methodology as well as practical applications, also have revised several chapters with relevant updates and written new ones from scratch.The new edition has been divided into four sections, including, Statistical Methods in Medicine and Epidemiology, Statistical Methods in Clinical Trials, Statistical Genetics, and General Methods. To reflect the rise of modern statistical genetics as one of the most fertile research areas since the publication of the first edition, the brand new section on Statistical Genetics includes entirely new chapters reflecting the state of the art in the field.Although tightly related, all the book chapters are self-contained and can be read independently. The book chapters intend to provide a convenient launch pad for readers interested in learning a specific topic, applying the related statistical methods in their scientific research and seeking the newest references for in-depth research.
