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Statistical Methods In Environmental Epidemiology
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Book Synopsis Statistical Methods in Environmental Epidemiology by : Duncan C. Thomas
Download or read book Statistical Methods in Environmental Epidemiology written by Duncan C. Thomas and published by Oxford University Press, USA. This book was released on 2009 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: A systematic treatment of the statistical challenges that arise in environmental health studies and the use epidemiologic data in formulating public policy, at a level suitable for graduate students and epidemiologic researchers.
Book Synopsis Statistical Methods for Environmental Epidemiology with R by : Roger D. Peng
Download or read book Statistical Methods for Environmental Epidemiology with R written by Roger D. Peng and published by Springer Science & Business Media. This book was released on 2008-12-15 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: As an area of statistical application, environmental epidemiology and more speci cally, the estimation of health risk associated with the exposure to - vironmental agents, has led to the development of several statistical methods and software that can then be applied to other scienti c areas. The stat- tical analyses aimed at addressing questions in environmental epidemiology have the following characteristics. Often the signal-to-noise ratio in the data is low and the targets of inference are inherently small risks. These constraints typically lead to the development and use of more sophisticated (and pot- tially less transparent) statistical models and the integration of large hi- dimensional databases. New technologies and the widespread availability of powerful computing are also adding to the complexities of scienti c inves- gation by allowing researchers to t large numbers of models and search over many sets of variables. As the number of variables measured increases, so do the degrees of freedom for in uencing the association between a risk factor and an outcome of interest. We have written this book, in part, to describe our experiences developing and applying statistical methods for the estimation for air pollution health e ects. Our experience has convinced us that the application of modern s- tistical methodology in a reproducible manner can bring to bear subst- tial bene ts to policy-makers and scientists in this area. We believe that the methods described in this book are applicable to other areas of environmental epidemiology, particularly those areas involving spatial{temporal exposures.
Book Synopsis Spatio-Temporal Methods in Environmental Epidemiology by : Gavin Shaddick
Download or read book Spatio-Temporal Methods in Environmental Epidemiology written by Gavin Shaddick and published by CRC Press. This book was released on 2015-06-17 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: Teaches Students How to Perform Spatio-Temporal Analyses within Epidemiological Studies Spatio-Temporal Methods in Environmental Epidemiology is the first book of its kind to specifically address the interface between environmental epidemiology and spatio-temporal modeling. In response to the growing need for collaboration between statisticians and environmental epidemiologists, the book links recent developments in spatio-temporal methodology with epidemiological applications. Drawing on real-life problems, it provides the necessary tools to exploit advances in methodology when assessing the health risks associated with environmental hazards. The book’s clear guidelines enable the implementation of the methodology and estimation of risks in practice. Designed for graduate students in both epidemiology and statistics, the text covers a wide range of topics, from an introduction to epidemiological principles and the foundations of spatio-temporal modeling to new research directions. It describes traditional and Bayesian approaches and presents the theory of spatial, temporal, and spatio-temporal modeling in the context of its application to environmental epidemiology. The text includes practical examples together with embedded R code, details of specific R packages, and the use of other software, such as WinBUGS/OpenBUGS and integrated nested Laplace approximations (INLA). A supplementary website provides additional code, data, examples, exercises, lab projects, and more. Representing a major new direction in environmental epidemiology, this book—in full color throughout—underscores the increasing need to consider dependencies in both space and time when modeling epidemiological data. Students will learn how to identify and model patterns in spatio-temporal data as well as exploit dependencies over space and time to reduce bias and inefficiency.
Book Synopsis Environmental Epidemiology by : Ray M. Merrill
Download or read book Environmental Epidemiology written by Ray M. Merrill and published by Jones & Bartlett Learning. This book was released on 2008 with total page 495 pages. Available in PDF, EPUB and Kindle. Book excerpt: Environmental epidemiology plays a critical role in public health, providing a scientific approach to understanding and describing the relationship between human health and the physical, chemical, biological, and psychosocial factors in the environment- information that is vitally important to public health planning, policy, and prevention strategies.
Book Synopsis Handbook of Environmental and Ecological Statistics by : Alan E. Gelfand
Download or read book Handbook of Environmental and Ecological Statistics written by Alan E. Gelfand and published by CRC Press. This book was released on 2019-01-15 with total page 679 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook focuses on the enormous literature applying statistical methodology and modelling to environmental and ecological processes. The 21st century statistics community has become increasingly interdisciplinary, bringing a large collection of modern tools to all areas of application in environmental processes. In addition, the environmental community has substantially increased its scope of data collection including observational data, satellite-derived data, and computer model output. The resultant impact in this latter community has been substantial; no longer are simple regression and analysis of variance methods adequate. The contribution of this handbook is to assemble a state-of-the-art view of this interface. Features: An internationally regarded editorial team. A distinguished collection of contributors. A thoroughly contemporary treatment of a substantial interdisciplinary interface. Written to engage both statisticians as well as quantitative environmental researchers. 34 chapters covering methodology, ecological processes, environmental exposure, and statistical methods in climate science.
Book Synopsis Statistical Methods in Genetic Epidemiology by : Duncan C. Thomas
Download or read book Statistical Methods in Genetic Epidemiology written by Duncan C. Thomas and published by Oxford University Press. This book was released on 2004-01-29 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: This well-organized and clearly written text has a unique focus on methods of identifying the joint effects of genes and environment on disease patterns. It follows the natural sequence of research, taking readers through the study designs and statistical analysis techniques for determining whether a trait runs in families, testing hypotheses about whether a familial tendency is due to genetic or environmental factors or both, estimating the parameters of a genetic model, localizing and ultimately isolating the responsible genes, and finally characterizing their effects in the population. Examples from the literature on the genetic epidemiology of breast and colorectal cancer, among other diseases, illustrate this process. Although the book is oriented primarily towards graduate students in epidemiology, biostatistics and human genetics, it will also serve as a comprehensive reference work for researchers. Introductory chapters on molecular biology, Mendelian genetics, epidemiology, statistics, and population genetics will help make the book accessible to those coming from one of these fields without a background in the others. It strikes a good balance between epidemiologic study designs and statistical methods of data analysis.
Book Synopsis Topics in Environmental Epidemiology by : Kyle Steenland
Download or read book Topics in Environmental Epidemiology written by Kyle Steenland and published by Oxford University Press, USA. This book was released on 1997 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive survey of the epidemiology of common environmental exposures, this volume covers diet, water, particulates in outdoor air, nitrogen dioxide, ozone, environmental tobacco smoke, radon in homes, electromagnetic fields, and lead. Design and analysis issues, risk assessment and meta-analysis, and future directions in environmental epidemiology are also discussed. All chapters provide a review of the relevant literature as well as an overview of important methodologic issues, particularly exposure assessment and statistical methods. Most of these exposures are widespread and low-level, and are thought to increase the risk of chronic diseases that have many causes. Even though the disease risks due to these exposures may be low, the public health burden may be significant because large numbers of people are exposed. Such exposures are inherently difficult to detect via observational epidemiology. This book clarifies the problems and suggests ways to move forward. It will be useful to students and practitioners of public health, environmental health, and epidemiology.
Book Synopsis Statistical Data Analysis Explained by : Clemens Reimann
Download or read book Statistical Data Analysis Explained written by Clemens Reimann and published by John Wiley & Sons. This book was released on 2011-08-31 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: Few books on statistical data analysis in the natural sciences are written at a level that a non-statistician will easily understand. This is a book written in colloquial language, avoiding mathematical formulae as much as possible, trying to explain statistical methods using examples and graphics instead. To use the book efficiently, readers should have some computer experience. The book starts with the simplest of statistical concepts and carries readers forward to a deeper and more extensive understanding of the use of statistics in environmental sciences. The book concerns the application of statistical and other computer methods to the management, analysis and display of spatial data. These data are characterised by including locations (geographic coordinates), which leads to the necessity of using maps to display the data and the results of the statistical methods. Although the book uses examples from applied geochemistry, and a large geochemical survey in particular, the principles and ideas equally well apply to other natural sciences, e.g., environmental sciences, pedology, hydrology, geography, forestry, ecology, and health sciences/epidemiology. The book is unique because it supplies direct access to software solutions (based on R, the Open Source version of the S-language for statistics) for applied environmental statistics. For all graphics and tables presented in the book, the R-scripts are provided in the form of executable R-scripts. In addition, a graphical user interface for R, called DAS+R, was developed for convenient, fast and interactive data analysis. Statistical Data Analysis Explained: Applied Environmental Statistics with R provides, on an accompanying website, the software to undertake all the procedures discussed, and the data employed for their description in the book.
Book Synopsis Statistical Methods for Global Health and Epidemiology by : Xinguang Chen
Download or read book Statistical Methods for Global Health and Epidemiology written by Xinguang Chen and published by Springer Nature. This book was released on 2020-04-13 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines statistical methods and models used in the fields of global health and epidemiology. It includes methods such as innovative probability sampling, data harmonization and encryption, and advanced descriptive, analytical and monitory methods. Program codes using R are included as well as real data examples. Contemporary global health and epidemiology involves a myriad of medical and health challenges, including inequality of treatment, the HIV/AIDS epidemic and its subsequent control, the flu, cancer, tobacco control, drug use, and environmental pollution. In addition to its vast scales and telescopic perspective; addressing global health concerns often involves examining resource-limited populations with large geographic, socioeconomic diversities. Therefore, advancing global health requires new epidemiological design, new data, and new methods for sampling, data processing, and statistical analysis. This book provides global health researchers with methods that will enable access to and utilization of existing data. Featuring contributions from both epidemiological and biostatistical scholars, this book is a practical resource for researchers, practitioners, and students in solving global health problems in research, education, training, and consultation.
Book Synopsis Applied Statistics for Environmental Science with R by : Abbas F. M. Al-Karkhi
Download or read book Applied Statistics for Environmental Science with R written by Abbas F. M. Al-Karkhi and published by Elsevier. This book was released on 2019-09-13 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Statistics for Environmental Science with R presents the theory and application of statistical techniques in environmental science and aids researchers in choosing the appropriate statistical technique for analyzing their data. Focusing on the use of univariate and multivariate statistical methods, this book acts as a step-by-step resource to facilitate understanding in the use of R statistical software for interpreting data in the field of environmental science. Researchers utilizing statistical analysis in environmental science and engineering will find this book to be essential in solving their day-to-day research problems. Includes step-by-step tutorials to aid in understanding the process and implementation of unique data Presents statistical theory in a simple way without complex mathematical proofs Shows how to analyze data using R software and provides R scripts for all examples and figures
Book Synopsis Statistical Methods for Disease Clustering by : Toshiro Tango
Download or read book Statistical Methods for Disease Clustering written by Toshiro Tango and published by Springer Science & Business Media. This book was released on 2010-01-09 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended to provide a text on statistical methods for detecting clus ters and/or clustering of health events that is of interest to ?nal year undergraduate and graduate level statistics, biostatistics, epidemiology, and geography students but will also be of relevance to public health practitioners, statisticians, biostatisticians, epidemiologists, medical geographers, human geographers, environmental scien tists, and ecologists. Prerequisites are introductory biostatistics and epidemiology courses. With increasing public health concerns about environmental risks, the need for sophisticated methods for analyzing spatial health events is immediate. Further more, the research area of statistical tests for disease clustering now attracts a wide audience due to the perceived need to implement wide ranging monitoring systems to detect possible health related bioterrorism activity. With this background and the development of the geographical information system (GIS), the analysis of disease clustering of health events has seen considerable development over the last decade. Therefore, several excellent books on spatial epidemiology and statistics have re cently been published. However, it seems to me that there is no other book solely focusing on statistical methods for disease clustering. I hope that readers will ?nd this book useful and interesting as an introduction to the subject.
Book Synopsis Environmental Epidemiology by : Dean Baker
Download or read book Environmental Epidemiology written by Dean Baker and published by OUP Oxford. This book was released on 2008-06-05 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Environmental epidemiology is the study of disease and environmental determinants of disease in humans, for example air pollution, water contamination, pesticides and telephone masts. This book describes the methods of environmental epidemiology and provides practical guidance on how to conduct studies on environmental problems and health effects.
Book Synopsis Statistical Methods for Detection and Quantification of Environmental Contamination by : Robert D. Gibbons
Download or read book Statistical Methods for Detection and Quantification of Environmental Contamination written by Robert D. Gibbons and published by John Wiley & Sons. This book was released on 2001-07-13 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: Kontaminationen so früh wie möglich erkennen und damit so früh wie möglich beseitigen: Statistische Methoden, die diesem Ziel dienen, werden hier vorgestellt. Die besprochenen Strategien zum Nachweis und zur Quantifizierung von Schadstoffen lassen sich auf alle Umweltkompartimente anwenden. Praktische Details werden anhand von Fallstudien anschaulich erläutert.
Book Synopsis Geographical and Environmental Epidemiology by : Paul Elliott
Download or read book Geographical and Environmental Epidemiology written by Paul Elliott and published by Oxford University Press, USA. This book was released on 1996 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: Requirements in terms of population data, disease incidence and mortality are considered and related to the scale at which a study is being carried out. Statistical methods are reviewed for large scale correlation studies, intermediate scale smoothing excercises, and small-scale clustering investigations, plus much more.
Book Synopsis Statistical Thinking in Epidemiology by : Yu-Kang Tu
Download or read book Statistical Thinking in Epidemiology written by Yu-Kang Tu and published by CRC Press. This book was released on 2016-04-19 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: While biomedical researchers may be able to follow instructions in the manuals accompanying the statistical software packages, they do not always have sufficient knowledge to choose the appropriate statistical methods and correctly interpret their results. Statistical Thinking in Epidemiology examines common methodological and statistical problems
Book Synopsis Exposure Assessment in Environmental Epidemiology by : Mark J. Nieuwenhuijsen
Download or read book Exposure Assessment in Environmental Epidemiology written by Mark J. Nieuwenhuijsen and published by Oxford University Press, USA. This book was released on 2015 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: Preceded by Exposure assessment in occupational and environmental epidemiology / edited by Mark J. Nieuwenhuijsen. 1st ed. 2003.
Book Synopsis Research Methods in Occupational Epidemiology by : Harvey Checkoway
Download or read book Research Methods in Occupational Epidemiology written by Harvey Checkoway and published by Oxford University Press. This book was released on 1989-05-25 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Occupational epidemiology has emerged as a distinct subdiscipline of epidemiology and occupational medicine, addressing fundamental public health and scientific questions relating to the specification of exposure-response relationships, assessment of the adequacy of occupational exposure guidelines, and extrapolation of hazardous effects to other settings. This book reviews the wide range of principles and methods used in epidemiologic studies of working populations. It describes the historical development of occupational epidemiology, the approaches to characterizing workplace exposures, and the methods for designing and implementing epidemiologic studies. The relative strengths and limitations of different study designs are emphasized. Also included are more advanced discussions of statistical analysis, the estimation of doses to biological targets, and applications of the data derived from occupational epidemiology studies to disease modeling and risk assessment. The volume will serve both as a textbook in epidemiology and occupational medicine courses and as a practical handbook for the design, implementation, and interpretation of research in this field.
