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Book Statistical Estimation of Epidemiological Risk

Download or read book Statistical Estimation of Epidemiological Risk written by Kung-Jong Lui and published by John Wiley & Sons. This book was released on 2004-04-02 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Estimation of Epidemiological Risk provides coverage of the most important epidemiological indices, and includes recent developments in the field. A useful reference source for biostatisticians and epidemiologists working in disease prevention, as the chapters are self-contained and feature numerous real examples. It has been written at a level suitable for public health professionals with a limited knowledge of statistics. Other key features include: Provides comprehensive coverage of the key epidemiological indices. Includes coverage of various sampling methods, and pointers to where each should be used. Includes up-to-date references and recent developments in the field. Features many real examples, emphasising the practical nature of the book. Each chapter is self-contained, allowing the book to be used as a useful reference source. Includes exercises, enabling use as a course text.

Book Statistics for Epidemiology

Download or read book Statistics for Epidemiology written by Nicholas P. Jewell and published by CRC Press. This book was released on 2003-08-26 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical ideas have been integral to the development of epidemiology and continue to provide the tools needed to interpret epidemiological studies. Although epidemiologists do not need a highly mathematical background in statistical theory to conduct and interpret such studies, they do need more than an encyclopedia of "recipes." Statistics for Epidemiology achieves just the right balance between the two approaches, building an intuitive understanding of the methods most important to practitioners and the skills to use them effectively. It develops the techniques for analyzing simple risk factors and disease data, with step-by-step extensions that include the use of binary regression. It covers the logistic regression model in detail and contrasts it with the Cox model for time-to-incidence data. The author uses a few simple case studies to guide readers from elementary analyses to more complex regression modeling. Following these examples through several chapters makes it easy to compare the interpretations that emerge from varying approaches. Written by one of the top biostatisticians in the field, Statistics for Epidemiology stands apart in its focus on interpretation and in the depth of understanding it provides. It lays the groundwork that all public health professionals, epidemiologists, and biostatisticians need to successfully design, conduct, and analyze epidemiological studies.

Book Statistical Analysis of Epidemiologic Data

Download or read book Statistical Analysis of Epidemiologic Data written by Steve Selvin and published by Oxford University Press. This book was released on 2004-05-13 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analytic procedures suitable for the study of human disease are scattered throughout the statistical and epidemiologic literature. Explanations of their properties are frequently presented in mathematical and theoretical language. This well-established text gives readers a clear understanding of the statistical methods that are widely used in epidemiologic research without depending on advanced mathematical or statistical theory. By applying these methods to actual data, Selvin reveals the strengths and weaknesses of each analytic approach. He combines techniques from the fields of statistics, biostatistics, demography and epidemiology to present a comprehensive overview that does not require computational details of the statistical techniques described. For the Third Edition, Selvin took out some old material (e.g. the section on rarely used cross-over designs) and added new material (e.g. sections on frequently used contingency table analysis). Throughout the text he enriched existing discussions with new elements, including the analysis of multi-level categorical data and simple, intuitive arguments that exponential survival times cause the hazard function to be constant. He added a dozen new applied examples to illustrate such topics as the pitfalls of proportional mortality data, the analysis of matched pair categorical data, and the age-adjustment of mortality rates based on statistical models. The most important new feature is a chapter on Poisson regression analysis. This essential statistical tool permits the multivariable analysis of rates, probabilities and counts.

Book Epidemiology

    Book Details:
  • Author : Mark Woodward
  • Publisher : CRC Press
  • Release : 1999-05-25
  • ISBN : 9781584880097
  • Pages : 728 pages

Download or read book Epidemiology written by Mark Woodward and published by CRC Press. This book was released on 1999-05-25 with total page 728 pages. Available in PDF, EPUB and Kindle. Book excerpt: Epidemiology is a subject of growing importance, as witnessed by its role in the description and prediction of the impact of new diseases such as AIDS and new-variant CJD. Epidemiology: Study Design and Data Analysis covers the whole spectrum of standard analytical techniques used in epidemiology, from descriptive techniques in report writing to model diagnostics from generalized linear models. The author discusses the advantages, disadvantages, and alternatives to case-control, cohort and intervention studies and details such crucial concepts as incidence, prevalence, confounding and interaction. Many exercises are provided, based on real epidemiological data sets collected from all over the world. The data sets are also available on an associated web site. Epidemiology: Study Design and Data Analysis will be an invaluable textbook for statistics and medical students studying epidemiology, and a standard reference for practicing epidemiologists.

Book Statistics in Epidemiology

Download or read book Statistics in Epidemiology written by Hardeo Sahai and published by CRC Press. This book was released on 1995-12-21 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Epidemiologic studies provide research strategies for investigating public health and scientific questions relating to the factors that cause and prevent ailments in human populations. Statistics in Epidemiology: Methods, Techniques and Applications presents a comprehensive review of the wide range of principles, methods and techniques underlying prospective, retrospective and cross-sectional approaches to epidemiologic studies. Written for epidemiologists and other researchers without extensive backgrounds in statistics, this new book provides a clear and concise description of the statistical tools used in epidemiology. Emphasis is given to the application of these statistical tools, and examples are provided to illustrate direct methods for applying common statistical techniques in order to obtain solutions to problems. Statistics in Epidemiology: Methods, Techniques and Applications goes beyond the elementary material found in basic epidemiology and biostatistics books and provides a detailed account of techniques:

Book Basic Statistics and Epidemiology

Download or read book Basic Statistics and Epidemiology written by Antony Stewart and published by CRC Press. This book was released on 2022-02-03 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: This straightforward primer in basic statistics and epidemiology emphasises their practical use in healthcare and public health, providing understanding of essential topics such as study design, data analysis and statistical methods used in the execution of medical research. Assuming no prior knowledge, the clarity of the text and care of presentation ensure those new to, or challenged by, these topics are given a thorough introduction without being overwhelmed by unnecessary detail. Key features: Provides an excellent grounding in the basics of both statistics and epidemiology Full step-by-step guidance on performing statistical calculations Numerous examples and exercises with detailed answers to help readers navigate these complex subjects with ease and confidence Enables students and practitioners to make sense of the many research studies that underpin evidence-based practice Fully revised and updated for this fifth edition, now with additional exercises and question and answers online for self-testing An understanding and appreciation of statistics is central to ensuring that professional practice is based on the best available evidence, in order to best treat and help the wider community. Reading this book will help students, researchers, doctors, nurses, and health managers to understand and apply the tools of statistics and epidemiology to their own practice.

Book Statistics in Public Health

    Book Details:
  • Author : Donna F. Stroup Ph.D, M.Sc.
  • Publisher : Oxford University Press
  • Release : 1998-07-16
  • ISBN : 9780199771332
  • Pages : 252 pages

Download or read book Statistics in Public Health written by Donna F. Stroup Ph.D, M.Sc. and published by Oxford University Press. This book was released on 1998-07-16 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Public health strives to improve the health of human populations, and prevent disease, disability, and death. Statistics--the science of finding underlying patterns by analyzing variability and errors in collected data--is essential to the understanding of disease patterns in human populations. Other quantitative methods, such as economics, decision theory, and mathematics, now constitute integral parts of the scientific basis for priority-setting and evaluation in public health. This book provides a broad conceptual treatment of the statistical issues underlying core public health functions: outbreak investigations, policy development, economic and program evaluation, managed care, and program operations. The theoretical analysis is illustrated with examples from public health practice. For readers interested in a more detailed treatment, there are extensive references to specialized publications. The authors present a series of quantitative approaches that significantly help public health professionals solve the problems they confront in their day-to-day work. Unlike traditional how-to books in statistics, this volume starts with an overview of the range of problems encountered in public health practice, and then presents methods for facilitating decision making. Statistics in Public Health: Quantitative Approaches to Public Health Problems will serve as a comprehensive desk reference for public health practitioners and as a teaching text for students of public health.

Book Statistical Models in Epidemiology

Download or read book Statistical Models in Epidemiology written by David Clayton and published by Oxford University Press, USA. This book was released on 2013-01-17 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: This self-contained account of the statistical basis of epidemiology has been written for those with a basic training in biology. It is specifically intended for students enrolled for a masters degree in epidemiology, clinical epidemiology, or biostatistics.

Book Epidemiological Research Methods

Download or read book Epidemiological Research Methods written by Donald R. McNeil and published by John Wiley & Sons. This book was released on 1996-08-06 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: The concepts of epidemiology, the science that uses statistical methods to investigate associations between risk factors and disease outcomes in human populations, are developed using examples involving real data from published studies. The relevant statistical methods are developed systematically to provide an integrated approach to observational and experimental studies. After covering basic measurement, study design, and study credibility issues, the author continues with basic statistical methods and techniques for adjusting risk estimates for confounders. Statistical models including logistic regression and the proportional hazards model for survival analysis are explained in detail in the following chapters, concluding with an explanation of the general methods for determining the sample size and power requirements for an epidemiological study. Taking advantage of the power, accessibility and user-friendliness of modern computer packages, the author uses a variety of interesting data sets and graphical displays to illustrate the methods. Epidemiological Research Methods will be of interest to students and research workers who need to learn and appreciate modern approaches to the subject. Without unnecessary emphasis on mathematics or theory, the book will enable the reader to gain a greater level of understanding of the underlying methods than is normally provided in books on epidemiology.

Book Statistical Analysis of Epidemiologic Data

Download or read book Statistical Analysis of Epidemiologic Data written by S. Selvin and published by Oxford University Press, USA. This book was released on 1996 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book combines applied and theoretical approaches to the analysis of epidemiologic issues. It goes beyond elementary material to deal with real problems generated by disease data, and delves into less usual areas such as the analysis of spatial distributions, survival data, proportional hazards regression, and "computer-intensive" approaches to statistical estimation. Each method discussed in the text is illustrated with examples which include complete sets of data. Using actual data demonstrates the strengths and weaknesses of different analytic approaches in describing a disease process. The goal of the book is to allow the reader to develop a clear understanding of analytic approaches to problems in epidemiologic data analysis without relying on sophisticated mathematics and advanced statistical theory. For the Second Edition a new chapter on the analysis of matched data has been added. This covers both discrete and continuous outcomes and explains both the classic analytic approach and the conditional logistic regression model. New sections have also been added on contingency table data, misclassification, and additive models underlying tabular data. In all the chapters there are new applications and other revisions that make this Second Edition a clearer and more helpful exposition of the way statistical tools are used to analyze epidemiologic data.

Book Analysis of Epidemiologic Data Using R

Download or read book Analysis of Epidemiologic Data Using R written by Robert Hirsch and published by Springer Nature. This book was released on 2023-09-10 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the description and analysis of occurrence data frequently encountered in epidemiological studies. With the occurrence of Covid-19, people have been exposed to the analysis and interpretation of epidemiological data. To be informed consumers of this information, people need to understand the nature and analysis of these data. Effort is made to emphasize concepts rather than mathematics. Subjects range from description of the frequencies of disease to the analysis of associations between the occurrence of disease and exposure. Those analyses begin with simple associations and work up to complex relationships that involve the control of extraneous characteristics. Analyses rely on the statistical software R, which is freeware in wide use by professional epidemiologists and other scientists.

Book Biostatistics for Epidemiologists

Download or read book Biostatistics for Epidemiologists written by Anders Ahlbom and published by CRC Press. This book was released on 2017-11-22 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biostatistics for Epidemiologists is a unique book that provides a collection of methods that can be used to analyze data in most epidemiological studies. It examines the theoretical background of the methods described and discusses general principles that apply to the analysis of epidemiological data. Specific topics addressed include statistical interference in epidemiological research, important methods used for analyzing epidemiological data, multivariate models, dose-response analysis, analysis of the interaction between causes of disease, meta-analysis, and computer programs. Biostatistics for Epidemiologists will be a useful guide for all epidemiologists and public health professionals who rely on biostatistical data in their work.

Book Smart Health Choices

Download or read book Smart Health Choices written by Les Irwig and published by Judy Irwig. This book was released on 2008 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: Every day we make decisions about our health - some big and some small. What we eat, how we live and even where we live can affect our health. But how can we be sure that the advice we are given about these important matters is right for us? This book will provide you with the right tools for assessing health advice.

Book Principles of Exposure Measurement in Epidemiology

Download or read book Principles of Exposure Measurement in Epidemiology written by Emily White and published by OUP Oxford. This book was released on 2008-02-28 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of this internationally acclaimed title is the ideal handbook for those involved in conducting epidemiological research. The objective of most epidemiological studies is to relate exposure to putative causal agents to the occurrence of a particular disease. The achievement of this objective depends critically on accurate measurement of exposure. This book reviews principles and techniques that can be applied to measuring a wide range of exposures, including demographic, behavioral, medical, genetic, and environmental factors. The book covers questionnaire design, conducting personal interviews, abstracting information from medical records, use of proxy respondents, and measurements from human specimens and in the environment. It gives a comprehensive account of measurement error and the estimation of its effects, and the design, analysis, and interpretation of validity and reliability studies. Emphasis is given to the ways in which the validity of measurements can be increased. Techniques to maximize participation of subjects in epidemiological studies are discussed, and ethical issues relevant to exposure measurement are outlined.

Book Multivariate Methods in Epidemiology

Download or read book Multivariate Methods in Epidemiology written by Theodore R. Holford and published by Oxford University Press. This book was released on 2002-05-30 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: The basis for much of medical public health practice comes from epidemiological research. This text describes current statistical tools that are used to analyze the association between possible risk factors and the actual risk of disease. Beginning with a broad conceptual framework on the disease process, it describes commonly used techniques for analyzing proportions and disease rates. These are then extended to model fitting, and the common threads of logic that bind the two analytic strategies together are revealed. Each chapter provides a descriptive rationale for the method, a worked example using data from a published study, and an exercise that allows the reader to practice the technique. Each chapter also includes an appendix that provides further details on the theoretical underpinnings of the method. Among the topics covered are Mantel-Haenszel methods, rates, survival analysis, logistic regression, and generalized linear models. Methods for incorporating aspects of study design, such as matching, into the analysis are discussed, and guidance is given for determining the power or the sample size requirements of a study. This text will give readers a foundation in applied statistics and the concepts of model fitting to develop skills in the analysis of epidemiological data.

Book Handbook of Epidemiology

    Book Details:
  • Author : Wolfgang Ahrens
  • Publisher : Springer Science & Business Media
  • Release : 2007-07-26
  • ISBN : 3540265775
  • Pages : 1628 pages

Download or read book Handbook of Epidemiology written by Wolfgang Ahrens and published by Springer Science & Business Media. This book was released on 2007-07-26 with total page 1628 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Epidemiology provides a comprehensive overview of the field and thus bridges the gap between standard textbooks of epidemiology and dispersed publications for specialists that have a narrowed focus on specific areas. It reviews the key issues and methodological approaches pertinent to the field for which the reader pursues an expatiated overview. It thus serves both as a first orientation for the interested reader and as a starting point for an in-depth study of a specific area, as well as a quick reference and recapitulatory overview for the expert. The book includes topics that are usually missing in standard textbooks.

Book Statistical Methods for Environmental Epidemiology with R

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.