Measurement Error And Misclassification In Statistics And Epidemiology
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Measurement Error And Misclassification In Statistics And Epidemiology
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Author : Paul Gustafson
language : en
Publisher: CRC Press
Release Date : 2003-09-25
Measurement Error And Misclassification In Statistics And Epidemiology written by Paul Gustafson and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-09-25 with Mathematics categories.
Mismeasurement of explanatory variables is a common hazard when using statistical modeling techniques, and particularly so in fields such as biostatistics and epidemiology where perceived risk factors cannot always be measured accurately. With this perspective and a focus on both continuous and categorical variables, Measurement Error and Misclassi
Principles Of Exposure Measurement In Epidemiology
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Author : Emily White
language : en
Publisher:
Release Date : 2008
Principles Of Exposure Measurement In Epidemiology written by Emily White and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Medical categories.
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 ascertaining biological and environmental measurements. 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.
Statistical Analysis With Measurement Error Or Misclassification
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Author : Grace Y. Yi
language : en
Publisher:
Release Date : 2017
Statistical Analysis With Measurement Error Or Misclassification written by Grace Y. Yi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Epidemiology categories.
Statistics For Epidemiology
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Author : Nicholas P. Jewell
language : en
Publisher: CRC Press
Release Date : 2003-08-26
Statistics For Epidemiology written by Nicholas P. Jewell and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-08-26 with Mathematics categories.
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 E
Handbook Of Measurement Error Models
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Author : Grace Y. Yi
language : en
Publisher: Chapman & Hall/CRC
Release Date : 2021-10-17
Handbook Of Measurement Error Models written by Grace Y. Yi and has been published by Chapman & Hall/CRC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-17 with Mathematics categories.
"Measurement error arises ubiquitously in applications and has been of long-standing concern in a variety of fields, including medical research, epidemiological studies, economics, environmental studies, and survey research. While several research monographs are available to summarize methods and strategies of handling different measurement error problems, research in this area continues to attract extensive attention. The Handbook of Measurement Error provides overviews of various topics on measurement error problems. It collects carefully edited chapters concerning issues of measurement error and evolving statistical methods, with a good balance of methodology and applications. It is prepared for readers who wish to start research and gain insights into challenges, methods, and applications related to error-prone data. It also serves as a reference text on statistical methods and applications pertinent to measurement error models, for researchers and data analysts alike. Features: Provides an account of past development and modern advancement concerning measurement error problems; Highlights the challenges induced by error-contaminated data; Introduces off-the-shelf methods for mitigating deleterious impacts of measurement error; Describes state-of-the-art strategies for conducting in-depth research. Grace Y. Yi is Professor of Statistics at the University of Western Ontario where she holds a Tier I Canada Research Chair in Data Science. She is a Fellow of the Institute of Mathematical Statistics (IMS), a Fellow of the American Statistical Association (ASA), and an Elected Member of the International Statistical Institute (ISI). She authored the monograph Statistical Analysis with Measurement Error or Misclassification (2017, Springer). Aurore Delaigle is Professor at the School of Mathematics and Statistics at the University of Melbourne. She is a Fellow of the Australian Academy of Science, a Fellow of the Institute of Mathematical Statistics (IMS), a Fellow of the American Statistical Association (ASA), and an Elected Member of the International Statistical Institute (ISI). She is a past recipient of the George W. Snedecor Award from the Committee of Presidents of Statistical Societies (COPSS) and of the Moran Medal from the Australian Academy of Science. Paul Gustafson is Professor and Head of the Department of Statistics at the University of British Columbia. He is a Fellow of the American Statistical Association, the 2020 Gold Medalist of the Statistical Society of Canada, and the author of the monograph Measurement Error and Misclassification in Statistics and Epidemiology: Impacts and Bayesian Adjustments (2004, Chapman and Hall, CRC Press)"--
Basic Statistics And Epidemiology
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Author : Antony Stewart
language : en
Publisher: CRC Press
Release Date : 2016-03-23
Basic Statistics And Epidemiology written by Antony Stewart and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-23 with Mathematics categories.
Basic Statistics and Epidemiology is a straightforward primer in basic statistics that emphasizes its practical use in epidemiology and public health, providing an 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. An understanding and appreciation of statistics is central to ensuring that professional practice is based on the best available evidence, in order to treat and help most appropriately the wider community. By reading this book, students, researchers, doctors, nurses and health managers will have the knowledge necessary to understand and apply the tools of statistics and epidemiology to their own practice.
Basic Concepts In Statistics And Epidemiology
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Author : Theodore H. MacDonald
language : en
Publisher: CRC Press
Release Date : 2018-10-08
Basic Concepts In Statistics And Epidemiology written by Theodore H. MacDonald and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-08 with Medical categories.
This book contains a Foreword by Allyson Pollock, Professor and Head, Centre for International Public Health Policy, University of Edinburgh. Healthcare students, practitioners and researchers need a sound basis for making valid statistical inferences from health data. To make the best use of statistical software, it is necessary to understand how probabilistic inference works. This book explains that, along with the various ways statistical data can be described and presented. It is designed to develop insight rather than simply the mechanical skills found in other textbooks. This book is specifically designed to underpin the concepts of statistics and epidemiology. It is practical and easy to use and is ideal for people who can feel uncomfortable with mathematics. 'Excellent. A great primer for all students and research workers engaged in learning how to use statistical ideas in public health. It sets out the core concepts and explains them clearly, using worked examples as illustration. If followed carefully, the engaged reader should be able to use the standard statistical software packages intelligently and sensitively. It will stimulate the public health student, in whatever context, and new researchers, to approach the enterprise with enhanced confidence in interpreting and coherently explaining their findings.' - Allyson Pollock, in the Foreword.
Basic Statistics And Epidemiology
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Author : Antony Stewart
language : en
Publisher: CRC Press
Release Date : 2022-02-03
Basic Statistics And Epidemiology written by Antony Stewart and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-03 with Medical categories.
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.
Measurement Error In Epidemiology
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Author : Saghir Ahmed Bashir
language : en
Publisher:
Release Date : 1996
Measurement Error In Epidemiology written by Saghir Ahmed Bashir and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with categories.
Measurement Error And Misclassification
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Author : Arie Kapteyn
language : en
Publisher:
Release Date : 2008
Measurement Error And Misclassification written by Arie Kapteyn and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with categories.
The authors provide both a theoretical and empirical analysis of the relation between register and survey data. By distinguishing between different sources of deviations between survey and register data the authors are able to reproduce several stylized facts in the literature. In doing so, they deviate from the almost universal assumption that the register data represent the truth. They illustrate the implications of different error sources for estimation in (simple) econometric models. The analysis is applied to Swedish data that have been collected for a validation study as part of a larger European health and retirement study (SHARE: Survey of Health, Ageing, and Retirement in Europe). Thus this paper makes two contributions: (1) it adds to the limited number of empirical validation studies of earnings measurement in surveys and (2) it shows the sensitivity of some findings in the literature for the assumption that register data represent the truth. They find in particular that the common finding of substantial mean reversion in survey data largely goes away once we allow for a richer error structure.