Introduction to Statistical Methods for Biosurveillance PDF Download
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Author: Ronald D. Fricker
Publisher: Cambridge University Press
ISBN: 0521191343
Category : Mathematics
Languages : en
Pages : 417
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Book Description
Presents basic and advanced methods with a focus on demonstrated added value for a broad class of public health surveillance problems.
Author: Ronald D. Fricker
Publisher: Cambridge University Press
ISBN: 0521191343
Category : Mathematics
Languages : en
Pages : 417
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Book Description
Presents basic and advanced methods with a focus on demonstrated added value for a broad class of public health surveillance problems.
Author: Ronald D. Fricker
Publisher:
ISBN: 9781107326408
Category :
Languages : en
Pages :
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Book Description
Author: Ronald D. Fricker (Jr.)
Publisher:
ISBN: 9781107332218
Category : Public health surveillance
Languages : en
Pages : 418
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Book Description
Presents basic and advanced methods with a focus on demonstrated added value for a broad class of public health surveillance problems.
Author: Xinguang Chen
Publisher: Springer Nature
ISBN: 3030352609
Category : Medical
Languages : en
Pages : 420
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Book Description
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.
Author: Ding-Geng (Din) Chen
Publisher: Springer
ISBN: 3319185365
Category : Medical
Languages : en
Pages : 354
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Book Description
The book brings together experts working in public health and multi-disciplinary areas to present recent issues in statistical methodological development and their applications. This timely book will impact model development and data analyses of public health research across a wide spectrum of analysis. Data and software used in the studies are available for the reader to replicate the models and outcomes. The fifteen chapters range in focus from techniques for dealing with missing data with Bayesian estimation, health surveillance and population definition and implications in applied latent class analysis, to multiple comparison and meta-analysis in public health data. Researchers in biomedical and public health research will find this book to be a useful reference and it can be used in graduate level classes.
Author: Michael M. Wagner
Publisher: Elsevier
ISBN: 0080459994
Category : Science
Languages : en
Pages : 621
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Book Description
Provides a coherent and comprehensive account of the theory and practice of real-time human disease outbreak detection, explicitly recognizing the revolution in practices of infection control and public health surveillance. - Reviews the current mathematical, statistical, and computer science systems for early detection of disease outbreaks - Provides extensive coverage of existing surveillance data - Discusses experimental methods for data measurement and evaluation - Addresses engineering and practical implementation of effective early detection systems - Includes real case studies
Author: S. Selvin
Publisher: Cambridge University Press
ISBN: 1107113083
Category : Mathematics
Languages : en
Pages : 579
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Book Description
A Biostatistics Toolbox for Data Analysis delivers a sophisticated package of statistical methods for advanced master's (MPH) and PhD students in public health and epidemiology who are involved in the analysis of data. The book's statistical tools are organized into sections with similar objectives, each of which is accompanied by complete instructions, explanations, detailed examples, and advice on relevant issues and potential pitfalls.
Author: Nigel G Fielding
Publisher: SAGE
ISBN: 1473959284
Category : Social Science
Languages : en
Pages : 904
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Book Description
Online research methods are popular, dynamic and fast-changing. Following on from the great success of the first edition, published in 2008, The SAGE Handbook of Online Research Methods, Second Edition offers both updates of existing subject areas and new chapters covering more recent developments, such as social media, big data, data visualization and CAQDAS. Bringing together the leading names in both qualitative and quantitative online research, this new edition is organised into nine sections: 1. Online Research Methods 2. Designing Online Research 3. Online Data Capture and Data Collection 4. The Online Survey 5. Digital Quantitative Analysis 6. Digital Text Analysis 7. Virtual Ethnography 8. Online Secondary Analysis: Resources and Methods 9. The Future of Online Social Research The SAGE Handbook of Online Research Methods, Second Edition is an essential resource for anyone interested in the contemporary practice of computer-mediated research and scholarship.
Author: Douglas C. Montgomery
Publisher: John Wiley & Sons
ISBN: 139418669X
Category : Mathematics
Languages : en
Pages : 740
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Book Description
Bring the latest statistical tools to bear on predicting future variables and outcomes A huge range of fields rely on forecasts of how certain variables and causal factors will affect future outcomes, from product sales to inflation rates to demographic changes. Time series analysis is the branch of applied statistics which generates forecasts, and its sophisticated use of time oriented data can vastly impact the quality of crucial predictions. The latest computing and statistical methodologies are constantly being sought to refine these predictions and increase the confidence with which important actors can rely on future outcomes. Time Series Analysis and Forecasting presents a comprehensive overview of the methodologies required to produce these forecasts with the aid of time-oriented data sets. The potential applications for these techniques are nearly limitless, and this foundational volume has now been updated to reflect the most advanced tools. The result, more than ever, is an essential introduction to a core area of statistical analysis. Readers of the third edition of Time Series Analysis and Forecasting will also find: Updates incorporating JMP, SAS, and R software, with new examples throughout Over 300 exercises and 50 programming algorithms that balance theory and practice Supplementary materials in the e-book including solutions to many problems, data sets, and brand-new explanatory videos covering the key concepts and examples from each chapter. Time Series Analysis and Forecasting is ideal for graduate and advanced undergraduate courses in the areas of data science and analytics and forecasting and time series analysis. It is also an outstanding reference for practicing data scientists.
Author: Lisa M. Lee
Publisher: Oxford University Press, USA
ISBN: 0195372921
Category : Language Arts & Disciplines
Languages : en
Pages : 460
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Book Description
Public health surveillance is the systematic, ongoing assessment of the health of a community, based on the collection, interpretation, and use of health data. Surveillance provides information necessary for public health decision making and interventions. In the third edition of Principles and Practice of Public Health Surveillance, the editors present an organized approach to planning, developing, and implementing public health surveillance systems in response to the rapidly changing field of public health. Substantially revised and expanded on, this edition continues to examine further the expansion of surveillance of disease and health determinants, as well as the recent advances in data management and informatics. Major sections of the book focus on bioresponse and preparedness, risk behaviors, and environmental exposure, while the ethical considerations and policy justification for public health surveillance are also explored. Drawing largely from the experience of the Centers for Disease Control and Prevention and other experts in the field, this book provides an excellent framework that collectively improves the surveillance foundation of public health. It will continue to serve as the standard text in the field, an invaluable resource for public health students and the desk reference for public health practitioners.
