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Applying Quantitative Bias Analysis To Epidemiologic Data

Author: Timothy L. Lash
Publisher: Springer Science & Business Media
ISBN: 9780387879598
Size: 12.14 MB
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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.

Design And Analysis Of Vaccine Studies

Author: M. Elizabeth Halloran
Publisher: Springer Science & Business Media
ISBN: 0387686363
Size: 18.78 MB
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As well as being a reference for the design, analysis, and interpretation of vaccine studies, the text covers all design and analysis stages, from vaccine development to post-licensure surveillance, presenting likelihood, frequentists, and Bayesian approaches.

Teaching Epidemiology

Author: Jorn Olsen
Publisher: Oxford University Press, USA
ISBN: 0199685002
Size: 38.18 MB
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Teaching epidemiology requires skill and knowledge, combined with a clear teaching strategy and good pedagogic skills. The general advice is simple: if you are not an expert on a topic, try to enrich your background knowledge before you start teaching. The new edition of Teaching Epidemiology helps you to do this and, by providing world-expert teachers' advice on how best to structure teaching, providing a unique insight into what has worked in their hands. This book will help you to tailor your own epidemiology teaching programme. The fourth edition of this established text has been fully revised and updated, drawing on new research findings and recently developed methods including research technologies in genetic epidemiology and method development in relation to causal analysis. Analytical tools provide teachers in the field with the skills to guide students at both undergraduate and postgraduate levels. Each chapter in Teaching Epidemiology comprises key concepts in epidemiology, subject specific methodologies, and disease specific issues, to provide expert assistance in the teaching of a wide range of epidemiology courses.

Pharmacogenetics

Author:
Publisher: Academic Press
ISBN: 0128134046
Size: 71.92 MB
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Pharmacogenetics, Volume 83, the newest volume in the Advances in Pharmacology series, presents a variety of chapters and the best authors in the field, with this release highlighting regulatory perspectives, the implementation of pharmacogenetics in everyday clinical setting, imaging in pharmacogenetics, pharmacoepidemiology in pharmacogenetics, epigenetics and micro RNA in pharmacogenetics, ethnicity in pharmacogenetics, pediatric pharmacogenetics, pharmacogenetics and adverse drug reactions, and cytochrome P450 pharmacogenetics amongst other important topics. This series presents an essential resource for pharmacologists, immunologists, and biochemists alike. Includes the authority and expertise of leading contributors in pharmacology as sourced from an international board of authors Presents the latest release in the Advances in Pharmacology series

Quantitative Health Risk Analysis Methods

Author: Louis Anthony Cox Jr.
Publisher: Springer Science & Business Media
ISBN: 0387261184
Size: 51.86 MB
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This book grew out of an effort to salvage a potentially useful idea for greatly simplifying traditional quantitative risk assessments of the human health consequences of using antibiotics in food animals. In 2001, the United States FDA’s Center for Veterinary Medicine (CVM) (FDA-CVM, 2001) published a risk assessment model for potential adverse human health consequences of using a certain class of antibiotics, fluoroquinolones, to treat flocks of chickens with fatal respiratory disease caused by infectious bacteria. CVM’s concern was that fluoroquinolones are also used in human medicine, raising the possibility that fluoroquinolone-resistant strains of bacteria selected by use of fluoroquinolones in chickens might infect humans and then prove resistant to treatment with human medicines in the same class of antibiotics, such as ciprofloxacin. As a foundation for its risk assessment model, CVM proposed a dramatically simple approach that skipped many of the steps in traditional risk assessment. The basic idea was to assume that human health risks were directly proportional to some suitably defined exposure metric. In symbols: Risk = K × Exposure, where “Exposure” would be defined in terms of a metric such as total production of chicken contaminated with fluoroquinolone-resistant bacteria that might cause human illnesses, and “Risk” would describe the expected number of cases per year of human illness due to fluoroquinolone-resistant bacterial infections caused by chicken and treated with fluoroquinolones.

The Fundamentals Of Modern Statistical Genetics

Author: Nan M. Laird
Publisher: Springer Science & Business Media
ISBN: 9781441973382
Size: 74.36 MB
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This book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics. Starting with Mendel’s first experiments to genome-wide association studies, the book describes how genetic information can be incorporated into statistical models to discover disease genes. All commonly used approaches in statistical genetics (e.g. aggregation analysis, segregation, linkage analysis, etc), are used, but the focus of the book is modern approaches to association analysis. Numerous examples illustrate key points throughout the text, both of Mendelian and complex genetic disorders. The intended audience is statisticians, biostatisticians, epidemiologists and quantitatively- oriented geneticists and health scientists wanting to learn about statistical methods for genetic analysis, whether to better analyze genetic data, or to pursue research in methodology. A background in intermediate level statistical methods is required. The authors include few mathematical derivations, and the exercises provide problems for students with a broad range of skill levels. No background in genetics is assumed.

Catalogs Of Courses

Author: University of California, Berkeley
Publisher:
ISBN:
Size: 47.71 MB
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Includes general and summer catalogs issued between 1878/1879 and 1995/1997.