Applied Epidemiology
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Applied Epidemiology
Author | : Ross C. Brownson,Diana B. Petitti |
Publsiher | : Oxford University Press, USA |
Total Pages | : 392 |
Release | : 2006 |
Genre | : Medical |
ISBN | : 0195187415 |
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Applies traditional epideiologic methods for determining disease etiology to the real-life applications of public health and health services research. This text contains a chapter on the development and use of systematic reviews and one on epidemiology and the law.
Applied Epidemiology and Biostatistics
Author | : Giuseppe La Torre |
Publsiher | : SEEd |
Total Pages | : 400 |
Release | : 2010-11-25 |
Genre | : Medical |
ISBN | : 8889688564 |
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This book provides not only the theory of biostatistics, but also the opportunity of applying it in practice. In fact, each chapter presents one or more specific examples on how to perform an epidemiological or statistical data analysis and includes download access to the software and databases, giving the reader the possibility of replicating the analyses described.
Applied Longitudinal Data Analysis for Epidemiology
Author | : Jos W. R. Twisk |
Publsiher | : Cambridge University Press |
Total Pages | : 337 |
Release | : 2013-05-09 |
Genre | : Medical |
ISBN | : 9781107030039 |
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A practical guide to the most important techniques available for longitudinal data analysis, essential for non-statisticians and researchers.
The CDC Field Epidemiology Manual
Author | : Centers for Disease Control and Prevention (CDC) |
Publsiher | : Oxford University Press |
Total Pages | : 592 |
Release | : 2018-11-20 |
Genre | : Medical |
ISBN | : 9780190624262 |
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A NEW AND ESSENTIAL RESOURCE FOR THE PRACTICE OF EPIDEMIOLOGY AND PUBLIC HEALTH The CDC Field Epidemiology Manual is a definitive guide to investigating acute public health events on the ground and in real time. Assembled and written by experts from the Centers for Disease Control and Prevention as well as other leading public health agencies, it offers current and field-tested guidance for every stage of an outbreak investigation -- from identification to intervention and other core considerations along the way. Modeled after Michael Gregg's seminal book Field Epidemiology, this CDC manual ushers investigators through the core elements of field work, including many of the challenges inherent to outbreaks: working with multiple state and federal agencies or multinational organizations; legal considerations; and effective utilization of an incident-management approach. Additional coverage includes: · Updated guidance for new tools in field investigations, including the latest technologies for data collection and incorporating data from geographic information systems (GIS) · Tips for investigations in unique settings, including healthcare and community-congregate sites · Advice for responding to different types of outbreaks, including acute enteric disease; suspected biologic or toxic agents; and outbreaks of violence, suicide, and other forms of injury For the ever-changing public health landscape, The CDC Field Epidemiology Manual offers a new, authoritative resource for effective outbreak response to acute and emerging threats. *** Oxford University Press will donate a portion of the proceeds from this book to the CDC Foundation, an independent nonprofit and the sole entity created by Congress to mobilize philanthropic and private-sector resources to support the Centers for Disease Control and Prevention's critical health protection work. To learn more about the CDC Foundation, visit www.cdcfoundation.org.
Applying Quantitative Bias Analysis to Epidemiologic Data
Author | : Timothy L. Lash,Matthew P. Fox,Aliza K. Fink |
Publsiher | : Springer Science & Business Media |
Total Pages | : 200 |
Release | : 2011-04-14 |
Genre | : Medical |
ISBN | : 9780387879598 |
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Bias analysis quantifies the influence of systematic error on an epidemiology study’s estimate of association. The fundamental methods of bias analysis in epi- miology have been well described for decades, yet are seldom applied in published presentations of epidemiologic research. More recent advances in bias analysis, such as probabilistic bias analysis, appear even more rarely. We suspect that there are both supply-side and demand-side explanations for the scarcity of bias analysis. On the demand side, journal reviewers and editors seldom request that authors address systematic error aside from listing them as limitations of their particular study. This listing is often accompanied by explanations for why the limitations should not pose much concern. On the supply side, methods for bias analysis receive little attention in most epidemiology curriculums, are often scattered throughout textbooks or absent from them altogether, and cannot be implemented easily using standard statistical computing software. Our objective in this text is to reduce these supply-side barriers, with the hope that demand for quantitative bias analysis will follow.
Heart Failure
Author | : Longjian Liu |
Publsiher | : Elsevier Health Sciences |
Total Pages | : 350 |
Release | : 2017-09-14 |
Genre | : Medical |
ISBN | : 9780323495998 |
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Get a quick, expert overview of the many key facets of heart failure research with this concise, practical resource by Dr. Longjian Liu. This easy-to-read reference focuses on the incidence, distribution, and possible control of this significant clinical and public health problem which is often associated with higher mortality and morbidity, as well as increased healthcare expenditures. This practical resource brings you up to date with what’s new in the field and how it can benefit your patients. Features a wealth of information on epidemiology and research methods related to heart failure. Discusses pathophysiology and risk profile of heart failure, research and design, biostatistical basis of inference in heart failure study, advanced biostatistics and epidemiology applied in heart failure study, and precision medicine and areas of future research. Consolidates today’s available information and guidance in this timely area into one convenient resource.
Statistical Thinking in Epidemiology
Author | : Yu-Kang Tu,Mark Gilthorpe |
Publsiher | : CRC Press |
Total Pages | : 231 |
Release | : 2016-04-19 |
Genre | : Mathematics |
ISBN | : 9781420099928 |
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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
Field Epidemiology
Author | : Michael B. Gregg |
Publsiher | : Oxford University Press, USA |
Total Pages | : 593 |
Release | : 2008 |
Genre | : Medical |
ISBN | : 9780195313802 |
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Field epidemiology involves the application of epidemiologic methods to unexpected health problems when a rapid on-site investigation is necessary for timely intervention. Based on decades of experience in both infectious and noninfectious diseases at the Centers for Disease Control andPrevention, this book describes in simple and practical terms the distinct approach, tasks, and actions needed for successful field investigations. Guidance is given on such issues as how to perform surveillance, manage and execute field investigations, collect and analyze data, perform surveys,adapt a personal computer for field use, and communicate the findings. Specific advice is also given on such subjects as dealing with the media; investigations in health care, day care, and international settings; and the legal aspects of field studies. An entire chapter covers the propercollection, handling, and testing of infectious and noninfectious agents in the field. In the Second Edition, four new chapters cover many unique aspects of field studies in the workplace, after natural disasters, in preparation for and response to possible bioterrorist attacks, and by state andlocal health departments. Finally, an appendix describes how to investigate a common source food-borne epidemic. This text gives public health professionals and students a practical and complete refernece to use in virtually any field investigation setting.