Download or read book Mendelian Randomization written by Stephen Burgess and published by CRC Press. This book was released on 2015-03-06 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents the Terminology and Methods of Mendelian Randomization for Epidemiological StudiesMendelian randomization uses genetic instrumental variables to make inferences about causal effects based on observational data. It, therefore, can be a reliable way of assessing the causal nature of risk factors, such as biomarkers, for a wide range of disea
Download or read book Explanation in Causal Inference written by Tyler J. VanderWeele and published by Oxford University Press, USA. This book was released on 2015 with total page 729 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive examination of methods for mediation and interaction, VanderWeele's book is the first to approach this topic from the perspective of causal inference. Numerous software tools are provided, and the text is both accessible and easy to read, with examples drawn from diverse fields. The result is an essential reference for anyone conducting empirical research in the biomedical or social sciences.
Download or read book The SAGE Handbook of Regression Analysis and Causal Inference written by Henning Best and published by SAGE. This book was released on 2013-12-20 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: ′The editors of the new SAGE Handbook of Regression Analysis and Causal Inference have assembled a wide-ranging, high-quality, and timely collection of articles on topics of central importance to quantitative social research, many written by leaders in the field. Everyone engaged in statistical analysis of social-science data will find something of interest in this book.′ - John Fox, Professor, Department of Sociology, McMaster University ′The authors do a great job in explaining the various statistical methods in a clear and simple way - focussing on fundamental understanding, interpretation of results, and practical application - yet being precise in their exposition.′ - Ben Jann, Executive Director, Institute of Sociology, University of Bern ′Best and Wolf have put together a powerful collection, especially valuable in its separate discussions of uses for both cross-sectional and panel data analysis.′ -Tom Smith, Senior Fellow, NORC, University of Chicago Edited and written by a team of leading international social scientists, this Handbook provides a comprehensive introduction to multivariate methods. The Handbook focuses on regression analysis of cross-sectional and longitudinal data with an emphasis on causal analysis, thereby covering a large number of different techniques including selection models, complex samples, and regression discontinuities. Each Part starts with a non-mathematical introduction to the method covered in that section, giving readers a basic knowledge of the method’s logic, scope and unique features. Next, the mathematical and statistical basis of each method is presented along with advanced aspects. Using real-world data from the European Social Survey (ESS) and the Socio-Economic Panel (GSOEP), the book provides a comprehensive discussion of each method’s application, making this an ideal text for PhD students and researchers embarking on their own data analysis.
Download or read book Social and Community Medicine for Students written by Una MacLean and published by Butterworth-Heinemann. This book was released on 2014-05-20 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social and Community Medicine for Students presents an extensive examination of the application of medical sociology to community treatment. It discusses the principles behind the scope and methods of epidemiology. It addresses studies in attitudes and illness. Some of the topics covered in the book are the sick role in Western Societies; sickness behavior in a traditional society; statistics vital to social medicine; geographical pathology of cancer; scope and methods of epidemiology; possibilities and limitations of health education; and health in industry and external disability. The definition and description of social provisions for health and welfare are fully covered. An in-depth account of the common features and development of social medicine are provided. The epidemiology of the cancer of the esophagus is completely presented. A chapter is devoted to description and diagnosis of ischaemic heart disease. Another section focuses on the practical applications of social medicine. The book can provide useful information to doctors, students, and researchers.
Download or read book Causal Inference in Statistics written by Judea Pearl and published by John Wiley & Sons. This book was released on 2016-01-25 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: CAUSAL INFERENCE IN STATISTICS A Primer Causality is central to the understanding and use of data. Without an understanding of cause–effect relationships, we cannot use data to answer questions as basic as "Does this treatment harm or help patients?" But though hundreds of introductory texts are available on statistical methods of data analysis, until now, no beginner-level book has been written about the exploding arsenal of methods that can tease causal information from data. Causal Inference in Statistics fills that gap. Using simple examples and plain language, the book lays out how to define causal parameters; the assumptions necessary to estimate causal parameters in a variety of situations; how to express those assumptions mathematically; whether those assumptions have testable implications; how to predict the effects of interventions; and how to reason counterfactually. These are the foundational tools that any student of statistics needs to acquire in order to use statistical methods to answer causal questions of interest. This book is accessible to anyone with an interest in interpreting data, from undergraduates, professors, researchers, or to the interested layperson. Examples are drawn from a wide variety of fields, including medicine, public policy, and law; a brief introduction to probability and statistics is provided for the uninitiated; and each chapter comes with study questions to reinforce the readers understanding.
Download or read book Identification and Inference for Econometric Models written by Donald W. K. Andrews and published by Cambridge University Press. This book was released on 2005-06-17 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 2005 collection pushed forward the research frontier in four areas of theoretical econometrics.
Download or read book Overcoming Multiple Sclerosis written by George Jelinek and published by Allen & Unwin. This book was released on 2016-07-01 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: Overcoming Multiple Sclerosis is an established and successful program of treatment. Once a diagnosis of MS meant inevitable decline and disability. Now thousands of people around the world are living healthy, active lives on the Overcoming Multiple Sclerosis recovery program. Overcoming Multiple Sclerosis explains the nature of MS and outlines an evidence-based 7 step program for recovery. Professor George Jelinek devised the program from an exhaustive analysis of medical research when he was first diagnosed with MS in 1999. It has been refined through major ongoing international clinical studies under Professor Jelinek's leadership, examining the lifestyles of several thousand people with MS world-wide and their health outcomes. Overcoming Multiple Sclerosis is invaluable for anyone recently diagnosed with MS, living with MS for years, or with a family member with MS. It makes an ideal resource for doctors treating people with MS. 'I would have no hesitation in recommending Overcoming Multiple Sclerosis to my patients, but also to my friends and colleagues.' Professor Gavin Giovannoni, MBBCh, PhD, FCP (S.A., Neurol.), FRCP, FRCPath, Chair of Neurology, Blizard Institute, Barts and The London School of Medicine and Dentistry 'Overcoming Multiple Sclerosis combines hard scientific evidence with practical advice and compassion. It will be of benefit to nearly everybody affected by MS and I heartily recommend it.' Dr Peter Fisher FRCP , Physician to Her Majesty Queen Elizabeth II, and Director of Research, Royal London Hospital for Integrated Medicine
Download or read book The Routledge International Handbook of Psychosocial Epidemiology written by Mika Kivimäki and published by Routledge. This book was released on 2017-12-14 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: The health effects of psychosocial factors are a widely discussed and controversial topic. Do positive and negative emotions affect our risk of developing physical disease? Are depressive individuals more likely to have cancer than those with an optimistic outlook on life? And what is the role of IQ in staying healthy and recovering from disease? Importantly, can we improve our health and life expectancy by avoiding certain psychosocial risk factors and maximizing positive psychological well-being? These and other questions are the focus of psychosocial epidemiology, a discipline linking psychological, social and biological sciences. The Routledge International Handbook of Psychosocial Epidemiology is the first book to map this growing discipline. Including contributions from many of the leading researchers in the field, it is divided into five sections: Part I: Methodological challenges in studying psychosocial factors and health; Part II: Psychosocial factors in the etiology and prognosis of chronic diseases; Part III: Controversies in the psychosocial approach; Part IV: Interventions and policy implications Part V: Future research directions Taking advantage of a huge growth in research in recent years, the book provides the reader with the essentials to evaluate the diverse set of studies on psychosocial factors and health that are published today, and describes study designs in this field of research, progress in judging the validity of epidemiological evidence, as well as challenges in translating evidence into action. This is an important and timely book. Providing methodological rigour, critical analysis and the policy implications of this emerging field of study, The Routledge International Handbook of Psychosocial Epidemiology will be an invaluable resource for students and researchers within both behavioural and medical sciences, as well as policy makers and others working in health and social care.
Download or read book Targeted Learning in Data Science written by Mark J. van der Laan and published by Springer. This book was released on 2018-03-28 with total page 655 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook for graduate students in statistics, data science, and public health deals with the practical challenges that come with big, complex, and dynamic data. It presents a scientific roadmap to translate real-world data science applications into formal statistical estimation problems by using the general template of targeted maximum likelihood estimators. These targeted machine learning algorithms estimate quantities of interest while still providing valid inference. Targeted learning methods within data science area critical component for solving scientific problems in the modern age. The techniques can answer complex questions including optimal rules for assigning treatment based on longitudinal data with time-dependent confounding, as well as other estimands in dependent data structures, such as networks. Included in Targeted Learning in Data Science are demonstrations with soft ware packages and real data sets that present a case that targeted learning is crucial for the next generation of statisticians and data scientists. Th is book is a sequel to the first textbook on machine learning for causal inference, Targeted Learning, published in 2011. Mark van der Laan, PhD, is Jiann-Ping Hsu/Karl E. Peace Professor of Biostatistics and Statistics at UC Berkeley. His research interests include statistical methods in genomics, survival analysis, censored data, machine learning, semiparametric models, causal inference, and targeted learning. Dr. van der Laan received the 2004 Mortimer Spiegelman Award, the 2005 Van Dantzig Award, the 2005 COPSS Snedecor Award, the 2005 COPSS Presidential Award, and has graduated over 40 PhD students in biostatistics and statistics. Sherri Rose, PhD, is Associate Professor of Health Care Policy (Biostatistics) at Harvard Medical School. Her work is centered on developing and integrating innovative statistical approaches to advance human health. Dr. Rose’s methodological research focuses on nonparametric machine learning for causal inference and prediction. She co-leads the Health Policy Data Science Lab and currently serves as an associate editor for the Journal of the American Statistical Association and Biostatistics.
Download or read book Secondary Analysis of Electronic Health Records written by MIT Critical Data and published by Springer. This book was released on 2016-09-09 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates a more complete lexicon of evidence-based recommendations and support shared, ethical decision making by doctors with their patients. Diagnostic and therapeutic technologies continue to evolve rapidly, and both individual practitioners and clinical teams face increasingly complex ethical decisions. Unfortunately, the current state of medical knowledge does not provide the guidance to make the majority of clinical decisions on the basis of evidence. The present research infrastructure is inefficient and frequently produces unreliable results that cannot be replicated. Even randomized controlled trials (RCTs), the traditional gold standards of the research reliability hierarchy, are not without limitations. They can be costly, labor intensive, and slow, and can return results that are seldom generalizable to every patient population. Furthermore, many pertinent but unresolved clinical and medical systems issues do not seem to have attracted the interest of the research enterprise, which has come to focus instead on cellular and molecular investigations and single-agent (e.g., a drug or device) effects. For clinicians, the end result is a bit of a “data desert” when it comes to making decisions. The new research infrastructure proposed in this book will help the medical profession to make ethically sound and well informed decisions for their patients.
Download or read book Epigenetic Epidemiology written by Karin B. Michels and published by Springer Science & Business Media. This book was released on 2012-01-03 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: The exploding field of epigenetics is challenging the dogma of traditional Mendelian inheritance. Epigenetics plays an important role in shaping who we are and contributes to our prospects of health and disease. While early epigenetic research focused on plant and animal models and in vitro experiments, population-based epidemiologic studies increasingly incorporate epigenetic components. The relevance of epigenetic marks, such as DNA methylation, genomic imprinting, and histone modification for disease causation has yet to be fully explored. This book covers the basic concepts of epigenetic epidemiology, discusses challenges in study design, analysis, and interpretation, epigenetic laboratory techniques, the influence of of age and environmental factors on shaping the epigenome, the role of epigenetics in the developmental origins hypothesis, and provides the state of the art on the epigenetic epidemiology of various health conditions including childhood syndromes, cancer, infectious diseases, inflammation and rheumatoid arthritis, asthma, autism and other neurodevelopmental disorders, psychiatric disorders, diabetes, obesity and metabolic disorders, and atherosclerosis. With contributions from: Peter Jones, Jean-Pierre Issa, Gavin Kelsey, Robert Waterland, and many other experts in epigenetics!
Download or read book Biosocial Surveys written by National Research Council and published by National Academies Press. This book was released on 2008-01-06 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biosocial Surveys analyzes the latest research on the increasing number of multipurpose household surveys that collect biological data along with the more familiar interviewerâ€"respondent information. This book serves as a follow-up to the 2003 volume, Cells and Surveys: Should Biological Measures Be Included in Social Science Research? and asks these questions: What have the social sciences, especially demography, learned from those efforts and the greater interdisciplinary communication that has resulted from them? Which biological or genetic information has proven most useful to researchers? How can better models be developed to help integrate biological and social science information in ways that can broaden scientific understanding? This volume contains a collection of 17 papers by distinguished experts in demography, biology, economics, epidemiology, and survey methodology. It is an invaluable sourcebook for social and behavioral science researchers who are working with biosocial data.
Download or read book Observation and Experiment written by Paul Rosenbaum and published by Harvard University Press. This book was released on 2017-08-14 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: A daily glass of wine prolongs life—yet alcohol can cause life-threatening cancer. Some say raising the minimum wage will decrease inequality while others say it increases unemployment. Scientists once confidently claimed that hormone replacement therapy reduced the risk of heart disease but now they equally confidently claim it raises that risk. What should we make of this endless barrage of conflicting claims? Observation and Experiment is an introduction to causal inference by one of the field’s leading scholars. An award-winning professor at Wharton, Paul Rosenbaum explains key concepts and methods through lively examples that make abstract principles accessible. He draws his examples from clinical medicine, economics, public health, epidemiology, clinical psychology, and psychiatry to explain how randomized control trials are conceived and designed, how they differ from observational studies, and what techniques are available to mitigate their bias. “Carefully and precisely written...reflecting superb statistical understanding, all communicated with the skill of a master teacher.” —Stephen M. Stigler, author of The Seven Pillars of Statistical Wisdom “An excellent introduction...Well-written and thoughtful...from one of causal inference’s noted experts.” —Journal of the American Statistical Association “Rosenbaum is a gifted expositor...an outstanding introduction to the topic for anyone who is interested in understanding the basic ideas and approaches to causal inference.” —Psychometrika “A very valuable contribution...Highly recommended.” —International Statistical Review
Download or read book Causality written by Carlo Berzuini and published by John Wiley & Sons. This book was released on 2012-06-04 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: A state of the art volume on statistical causality Causality: Statistical Perspectives and Applications presents a wide-ranging collection of seminal contributions by renowned experts in the field, providing a thorough treatment of all aspects of statistical causality. It covers the various formalisms in current use, methods for applying them to specific problems, and the special requirements of a range of examples from medicine, biology and economics to political science. This book: Provides a clear account and comparison of formal languages, concepts and models for statistical causality. Addresses examples from medicine, biology, economics and political science to aid the reader's understanding. Is authored by leading experts in their field. Is written in an accessible style. Postgraduates, professional statisticians and researchers in academia and industry will benefit from this book.
Download or read book Statistics and Causality written by Wolfgang Wiedermann and published by John Wiley & Sons. This book was released on 2016-05-12 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: b”STATISTICS AND CAUSALITYA one-of-a-kind guide to identifying and dealing with modern statistical developments in causality Written by a group of well-known experts, Statistics and Causality: Methods for Applied Empirical Research focuses on the most up-to-date developments in statistical methods in respect to causality. Illustrating the properties of statistical methods to theories of causality, the book features a summary of the latest developments in methods for statistical analysis of causality hypotheses. The book is divided into five accessible and independent parts. The first part introduces the foundations of causal structures and discusses issues associated with standard mechanistic and difference-making theories of causality. The second part features novel generalizations of methods designed to make statements concerning the direction of effects. The third part illustrates advances in Granger-causality testing and related issues. The fourth part focuses on counterfactual approaches and propensity score analysis. Finally, the fifth part presents designs for causal inference with an overview of the research designs commonly used in epidemiology. Statistics and Causality: Methods for Applied Empirical Research also includes: New statistical methodologies and approaches to causal analysis in the context of the continuing development of philosophical theories End-of-chapter bibliographies that provide references for further discussions and additional research topics Discussions on the use and applicability of software when appropriate Statistics and Causality: Methods for Applied Empirical Research is an ideal reference for practicing statisticians, applied mathematicians, psychologists, sociologists, logicians, medical professionals, epidemiologists, and educators who want to learn more about new methodologies in causal analysis. The book is also an excellent textbook for graduate-level courses in causality and qualitative logic.
Download or read book Population Neuroscience written by Tomas Paus and published by Springer Science & Business Media. This book was released on 2013-03-23 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: Is Newton’s brain different from Rembrandt’s? Does a mother’s diet during pregnancy impact brain growth? Do adolescent peers leave a signature in the social brain? Does the way we live in our middle years affect how our brains age? To answer these and many other questions, we can now turn to population neuroscience. Population neuroscience endeavors to identify environmental and genetic factors that shape the function and structure of the human brain; it uses the tools and knowledge of genetics (and the “omics” sciences), epidemiology and neuroscience. This text attempts to provide a bridge spanning these three disciplines so that their practitioners can communicate easily with each other when working together on large-scale imaging studies of the developing, mature and aging brain. By understanding the processes driving variations in brain function and structure across individuals, we will also be able to predict an individual’s risk of (or resilience against) developing a brain disorder. In the long term, the hope is that population neuroscience will lay the foundation for personalized preventive medicine and, in turn, reduce the burden associated with complex, chronic disorders of brain and body.
Download or read book Examining a Developmental Approach to Childhood Obesity written by Institute of Medicine and published by National Academies Press. This book was released on 2015-09-08 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent scientific evidence points to the origins of childhood obesity as an outcome of the dynamic interplay of genetic, behavioral, and environmental factors throughout early development, with a compelling body of evidence suggesting that both maternal and paternal nutritional and other exposures affect a child's risk of later obesity. The burgeoning field of epigenetics has led researchers to speculate that many of the observed associations between early developmental exposures and later risk of childhood obesity are mediated, at least in part, through epigenetic mechanisms. To explore the body of evolving science that examines the nexus of biology, environment, and developmental stage on risk of childhood obesity, the Institute of Medicine and the National Research Council convened a workshop in February 2015. The workshop focused on the prenatal period, infancy, and early childhood and addressed evidence from both animal and human studies. Workshop objectives were to (1) identify epigenetic-mediated relationships between exposure to risk factors during sensitive periods of development (gestation through age 3) and subsequent obesity-related outcomes; (2) explore the science around periods of plasticity and potential reversibility of obesity risk in the context of early childhood development; and (3) examine the translation of epigenetic science to guide early childhood obesity prevention and intervention to reduce obesity risk. This report summarizes the information presented and discussed at the workshop.
