Download or read book Modern Statistical Methods in Chronic Disease Epidemiology written by Suresh H. Moolgavkar and published by Wiley-Interscience. This book was released on 1986-05-09 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of a conference sponsored by the SIAM Institute for Mathematics and Society, and supported by the Department of Energy. Brings together recent developments in the statistical methodology for chronic disease epidimiology. The contributors are all at the forefront of biostatistics research.
Download or read book Energy Research Abstracts written by and published by . This book was released on 1989 with total page 1076 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Biostatistical Methods in Epidemiology written by Stephen C. Newman and published by John Wiley & Sons. This book was released on 2003-04-11 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to classical biostatistical methods in epidemiology Biostatistical Methods in Epidemiology provides an introduction to a wide range of methods used to analyze epidemiologic data, with a focus on nonregression techniques. The text includes an extensive discussion of measurement issues in epidemiology, especially confounding. Maximum likelihood, Mantel-Haenszel, and weighted least squares methods are presented for the analysis of closed cohort and case-control data. Kaplan-Meier and Poisson methods are described for the analysis of censored survival data. A justification for using odds ratio methods in case-control studies is provided. Standardization of rates is discussed and the construction of ordinary, multiple decrement and cause-deleted life tables is outlined. Sample size formulas are given for a range of epidemiologic study designs. The text ends with a brief overview of logistic and Cox regression. Other highlights include: Many worked examples based on actual data Discussion of exact methods Recommendations for preferred methods Extensive appendices and references Biostatistical Methods in Epidemiology provides an excellent introduction to the subject for students, while also serving as a comprehensive reference for epidemiologists and other health professionals. For more information, visit www.wiley.com/mathematics
Download or read book Current Catalog written by National Library of Medicine (U.S.) and published by . This book was released on with total page 1676 pages. Available in PDF, EPUB and Kindle. Book excerpt: First multi-year cumulation covers six years: 1965-70.
Download or read book Modern Epidemiology written by Timothy L. Lash and published by Lippincott Williams & Wilkins. This book was released on 2020-12-11 with total page 1340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now in a fully revised Fourth Edition, Modern Epidemiology remains the gold standard text in this complex and evolving field. This edition continues to provide comprehensive coverage of the principles and methods for the design, analysis, and interpretation of epidemiologic research. Featuring a new format allowing space for margin notes, this edition • Reflects both the conceptual development of this evolving science and the increasing role that epidemiology plays in improving public health and medicine. • Features new coverage of methods such as agent-based modeling, quasi-experimental designs, mediation analysis, and causal modeling. • Updates coverage of methods such as concepts of interaction, bias analysis, and time-varying designs and analysis. • Continues to cover the full breadth of epidemiologic methods and concepts, including epidemiologic measures of occurrence and effect, study designs, validity, precision, statistical interference, field methods, surveillance, ecologic designs, and use of secondary data sources. • Includes data analysis topics such as Bayesian analysis, probabilistic bias analysis, time-to-event analysis, and an extensive overview of modern regression methods including logistic and survival regression, splines, longitudinal and cluster-correlated/hierarchical data analysis, propensity scores and other scoring methods, and marginal structural models. • Summarizes the history, specialized aspects, and future directions of topical areas, including among others social epidemiology, infectious disease epidemiology, genetic and molecular epidemiology, psychiatric epidemiology, injury and violence epidemiology, and pharmacoepidemiology.
Download or read book Statistical Models in Epidemiology written by David Clayton and published by OUP Oxford. This book was released on 2013-01-17 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: This self-contained account of the statistical basis of epidemiology has been written specifically for those with a basic training in biology, therefore no previous knowledge is assumed and the mathematics is deliberately kept at a manageable level. The authors show how all statistical analysis of data is based on probability models, and once one understands the model, analysis follows easily. In showing how to use models in epidemiology the authors have chosen to emphasize the role of likelihood, an approach to statistics which is both simple and intuitively satisfying. More complex problems can then be tackled by natural extensions of the simple methods. Based on a highly successful course, this book explains the essential statistics for all epidemiologists.
Download or read book Statistical Methods in Epidemiologic Research written by Ray M. Merrill and published by Jones & Bartlett Publishers. This book was released on 2016 with total page 944 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covers all the core topics, such as digital logic, data representation, machine-level language, general organization, and much more.
Download or read book Modern Epidemiology written by Kenneth J. Rothman and published by Lippincott Williams & Wilkins. This book was released on 2008 with total page 776 pages. Available in PDF, EPUB and Kindle. Book excerpt: The thoroughly revised and updated Third Edition of the acclaimed Modern Epidemiology reflects both the conceptual development of this evolving science and the increasingly focal role that epidemiology plays in dealing with public health and medical problems. Coauthored by three leading epidemiologists, with sixteen additional contributors, this Third Edition is the most comprehensive and cohesive text on the principles and methods of epidemiologic research. The book covers a broad range of concepts and methods, such as basic measures of disease frequency and associations, study design, field methods, threats to validity, and assessing precision. It also covers advanced topics in data analysis such as Bayesian analysis, bias analysis, and hierarchical regression. Chapters examine specific areas of research such as disease surveillance, ecologic studies, social epidemiology, infectious disease epidemiology, genetic and molecular epidemiology, nutritional epidemiology, environmental epidemiology, reproductive epidemiology, and clinical epidemiology.
Download or read book Causality written by Judea Pearl and published by Cambridge University Press. This book was released on 2009-09-14 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: Causality offers the first comprehensive coverage of causal analysis in many sciences, including recent advances using graphical methods. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural approaches to causation, and devises simple mathematical tools for analyzing the relationships between causal connections, statistical associations, actions and observations. The book will open the way for including causal analysis in the standard curriculum of statistics, artificial intelligence ...
Download or read book Handbook of Advanced Multilevel Analysis written by Joop Hox and published by Psychology Press. This book was released on 2011-01-11 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new handbook is the definitive resource on advanced topics related to multilevel analysis. The editors assembled the top minds in the field to address the latest applications of multilevel modeling as well as the specific difficulties and methodological problems that are becoming more common as more complicated models are developed. Each chapter features examples that use actual datasets. These datasets, as well as the code to run the models, are available on the book’s website http://www.hlm-online.com . Each chapter includes an introduction that sets the stage for the material to come and a conclusion. Divided into five sections, the first provides a broad introduction to the field that serves as a framework for understanding the latter chapters. Part 2 focuses on multilevel latent variable modeling including item response theory and mixture modeling. Section 3 addresses models used for longitudinal data including growth curve and structural equation modeling. Special estimation problems are examined in section 4 including the difficulties involved in estimating survival analysis, Bayesian estimation, bootstrapping, multiple imputation, and complicated models, including generalized linear models, optimal design in multilevel models, and more. The book’s concluding section focuses on statistical design issues encountered when doing multilevel modeling including nested designs, analyzing cross-classified models, and dyadic data analysis. Intended for methodologists, statisticians, and researchers in a variety of fields including psychology, education, and the social and health sciences, this handbook also serves as an excellent text for graduate and PhD level courses in multilevel modeling. A basic knowledge of multilevel modeling is assumed.
Download or read book Phenotypic Variation in Populations written by Avril Woodhead and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: The human race has enormous he terogenei ty, founded on genetic and environmental sources. Variability, therefore, is a vital dimension in any consideration of human risk assessment. In the estimation of risks, current methods of extrapolation based upon converting the response of a median man are inadequate, as they ignore phenotypic variation and there fore, susceptible subgroups. There is a growing literature defining the extent of human variation in normal populations; thus, the normal young adult population may have 10-20% known hyperreactors. How far can we ignore human variability in risk assessment? Should we be concerned with susceptible groups, and how can we modify the risk assessment analysis accordingly? The aim of our meeting was to bring together experts from the fields of human epidemiology, toxicology, aging, genetics, carcino genesis and teratology, and to provide a forum in which we might assimi late knowledge of human heterogeneity as a coherent whole. Since the resolution and obligations of risk assessment, in the last analysis, are a political process, we also involved representatives from the legal field, the unions, and the regulatory agencies. We are most grateful for financial support from the National Institute on Aging; the u. S. Environmental Protection Agency; the U. S. Department of Energy; FDA - National Center for Toxicological Research; The Council for Tobacco Research-USA, Inc; Johnson and Johnson; Merck Sharp and Dohme Research Laboratories; and Associated Universities, Inc. We thank our Symposium Coordinator, Ms.
Download or read book Scientific Issues in Quantitative Cancer Risk Assessment written by S.H. Moolgavkar and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: In 1974, the Societal Institute of the Mathematical Sciences (SIMS) initiated.a series of five-day Research Application Conferences (RAC's) at Alta, Utah, for the purpose of probing in depth societal fields in light of their receptivity to mathematical and statistical analysis. The first 10 conferences addressed ecosys tems, epidemiology, energy, environmental health, time series and ecological processes, energy and health, energy conversion and fluid mechanics, environ mental epidemiology: risk assessment, atomic bomb survivor data: utilization and analysis, and modem statistical methods in chronic disease epidemiology. These Proceedings are a result of the eleventh conference of Scientific Issues in Quantitative Cancer Risk Assessment, which was held in 1989 at Snowbird, Utah. For five days, 45 speakers and observers contributed their expertise in the relevant biology and statistics. The presentations were timely and the discussion was both enlightening and at times spirited. This volume hopefully presents a record that will be useful both now and in the future. Suresh H. Moolgavkar of the Fred Hutchinson Cancer Research Center (Seattle, WA) and the University of Washington (Seattle) chaired the Conference. The Conference was supported by the following organizations: The Dow Chemical Company Haskell Laboratory, E.1. duPont Health and Welfare Canada International Life Sciences Institute Monsanto Company National Cancer Institute Procter & Gamble Shell Oil Company U. S. Department of Energy U.S. Environmental Protection Agency U.S. Food and Drug Administration SIMS is grateful to the above organizations for their support of this Conference. D.L. Thomsen, Jr.
Download or read book Survival Analysis State of the Art written by John P. Klein and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: Survival analysis is a highly active area of research with applications spanning the physical, engineering, biological, and social sciences. In addition to statisticians and biostatisticians, researchers in this area include epidemiologists, reliability engineers, demographers and economists. The economists survival analysis by the name of duration analysis and the analysis of transition data. We attempted to bring together leading researchers, with a common interest in developing methodology in survival analysis, at the NATO Advanced Research Workshop. The research works collected in this volume are based on the presentations at the Workshop. Analysis of survival experiments is complicated by issues of censoring, where only partial observation of an individual's life length is available and left truncation, where individuals enter the study group if their life lengths exceed a given threshold time. Application of the theory of counting processes to survival analysis, as developed by the Scandinavian School, has allowed for substantial advances in the procedures for analyzing such experiments. The increased use of computer intensive solutions to inference problems in survival analysis~ in both the classical and Bayesian settings, is also evident throughout the volume. Several areas of research have received special attention in the volume.
Download or read book Statistical Models and Causal Inference written by David A. Freedman and published by Cambridge University Press. This book was released on 2010 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: David A. Freedman presents a definitive synthesis of his approach to statistical modeling and causal inference in the social sciences.
Download or read book Genetic Variation and Human Disease written by Kenneth M. Weiss and published by Cambridge University Press. This book was released on 1993 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent developments in molecular and computational methods have made it possible to identify the genetic basis of any biological trait, and have led to spectacular advances in the study of human disease. This book provides an overview of the concepts and methods needed to understand the genetic basis of biological traits, including disease, in humans. Using examples of qualitative and quantitative phenotypes, Professor Weiss shows how genetic variation may be quantified, and how relationships between genotype and phenotype may be inferred. This book will appeal to many biologists and biological anthropologists interested in the genetic basis of biological traits, as well as to epidemiologists, biomedical scientists, human geneticists and molecular biologists.
Download or read book Regression Modeling Strategies written by Frank E. Harrell and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 583 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many texts are excellent sources of knowledge about individual statistical tools, but the art of data analysis is about choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasizes problem solving strategies that address the many issues arising when developing multivariable models using real data and not standard textbook examples. It includes imputation methods for dealing with missing data effectively, methods for dealing with nonlinear relationships and for making the estimation of transformations a formal part of the modeling process, methods for dealing with "too many variables to analyze and not enough observations," and powerful model validation techniques based on the bootstrap. This text realistically deals with model uncertainty and its effects on inference to achieve "safe data mining".
Download or read book Statistical Models Based on Counting Processes written by Per K. Andersen and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 779 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern survival analysis and more general event history analysis may be effectively handled within the mathematical framework of counting processes. This book presents this theory, which has been the subject of intense research activity over the past 15 years. The exposition of the theory is integrated with careful presentation of many practical examples, drawn almost exclusively from the authors'own experience, with detailed numerical and graphical illustrations. Although Statistical Models Based on Counting Processes may be viewed as a research monograph for mathematical statisticians and biostatisticians, almost all the methods are given in concrete detail for use in practice by other mathematically oriented researchers studying event histories (demographers, econometricians, epidemiologists, actuarial mathematicians, reliability engineers and biologists). Much of the material has so far only been available in the journal literature (if at all), and so a wide variety of researchers will find this an invaluable survey of the subject.
