Applied Epidemiology
Title | Applied Epidemiology PDF eBook |
Author | Ross C. Brownson |
Publisher | Oxford University Press, USA |
Pages | 392 |
Release | 2006 |
Genre | Medical |
ISBN | 9780195187410 |
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
Title | Applied Epidemiology and Biostatistics PDF eBook |
Author | Giuseppe La Torre |
Publisher | SEEd |
Pages | 400 |
Release | 2010-11-25 |
Genre | Medical |
ISBN | 8889688564 |
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
Title | Applied Longitudinal Data Analysis for Epidemiology PDF eBook |
Author | Jos W. R. Twisk |
Publisher | Cambridge University Press |
Pages | 337 |
Release | 2013-05-09 |
Genre | Medical |
ISBN | 110703003X |
A practical guide to the most important techniques available for longitudinal data analysis, essential for non-statisticians and researchers.
Applying Quantitative Bias Analysis to Epidemiologic Data
Title | Applying Quantitative Bias Analysis to Epidemiologic Data PDF eBook |
Author | Timothy L. Lash |
Publisher | Springer Science & Business Media |
Pages | 200 |
Release | 2011-04-14 |
Genre | Medical |
ISBN | 0387879595 |
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.
Community Nutrition
Title | Community Nutrition PDF eBook |
Author | Gail C. Frank |
Publisher | Jones & Bartlett Learning |
Pages | 982 |
Release | 2008 |
Genre | Nutrition |
ISBN | 9780763730628 |
This graduate-level community nutrition textbook presents a conceptual framework for understanding the course of health and disease and matching community nutrition or applied nutrition epidemiology to the model.
Mathematical Models in Population Biology and Epidemiology
Title | Mathematical Models in Population Biology and Epidemiology PDF eBook |
Author | Fred Brauer |
Publisher | Springer Science & Business Media |
Pages | 432 |
Release | 2013-03-09 |
Genre | Science |
ISBN | 1475735162 |
The goal of this book is to search for a balance between simple and analyzable models and unsolvable models which are capable of addressing important questions on population biology. Part I focusses on single species simple models including those which have been used to predict the growth of human and animal population in the past. Single population models are, in some sense, the building blocks of more realistic models -- the subject of Part II. Their role is fundamental to the study of ecological and demographic processes including the role of population structure and spatial heterogeneity -- the subject of Part III. This book, which will include both examples and exercises, is of use to practitioners, graduate students, and scientists working in the field.
Statistical Thinking in Epidemiology
Title | Statistical Thinking in Epidemiology PDF eBook |
Author | Yu-Kang Tu |
Publisher | CRC Press |
Pages | 231 |
Release | 2016-04-19 |
Genre | Mathematics |
ISBN | 1420099922 |
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