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eBook Methods in Epidemiologic Research download

by Wayne Martin,Henrik Stryhn,Joseph Hilbe,James Anthony,Ian Dohoo

eBook Methods in Epidemiologic Research download ISBN: 0919013732
Author: Wayne Martin,Henrik Stryhn,Joseph Hilbe,James Anthony,Ian Dohoo
Publisher: VER Inc. (2012)
Language: English
Pages: 890
ePub: 1712 kb
Fb2: 1831 kb
Rating: 4.2
Other formats: mbr doc txt doc
Category: Other

The first 6 chapters deal with basic epidemiologic principles (eg. sampling. Methods in Epidemiologic. has been added to your Cart.

The book covers a wide breadth of topics-from design of studies through statistical analysis to effective communication of results.

Chapters 1-6 cover basic principles such as, sampling, data collection, measures of disease and association, and diagnostic tests.

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There are chapters on clustered data and the methods for modelling these, including mixed models and .

There are chapters on clustered data and the methods for modelling these, including mixed models and Bayesian analysis. There are chapters on Meta-analysis, and approaches to model building and data analysis. While other texts provide more depth on all these topics, relevant texts are referenced. Strengths of this book are the examples provided and the appropriateness and currency of the references to which readers are directed. Many of the case examples and data sets are derived from recent published papers or obtained from the authors of the papers. Categories: Mathematics\Logic.

This was a surprise as the Figures had all printed perfectly well when the galley proofs were examined.

ISBN 13: 9780919013735. Ian Dohoo; Wayne Martin; Henrik Stryhn.

lan Dohoo Wayne Martin Henrik Stryhn. It is Ouf hop e that in Chapters 14 through 24, we have covered the important analytical methods in a manner that is comprehensible to first-time graduate students in epidemiology and to seasoned epidemiologic investigators. A final motivation for the preparation ofthis book was that the vast majority of graduatelevel reference material has been written for students in human epidemiology and we felt there was a need for the material to be presented in a veterinary context.

Methods in Epidemiologic Research is a comprehensive textbook covering the key principles and methods used in epidemiologic research. It is written primarily for graduate students and researchers in epidemiology and public health. The first 6 chapters deal with basic epidemiologic principles (eg. sampling, data collection, measures of disease and association, diagnostic tests). Chapters 7 through 13 cover issues related to the design and execution of observational studies and controlled trials. Chapters 14 through 26 are devoted to methods used in the analysis of epidemiologic data, including extensive coverage of regression type models, procedures for dealing with clustered data, an introduction to Bayesian methods and dealing with spatial data. Chapters 27 through 30 cover infectious disease modelling, meta-analysis and ecologic studies. Extensive use is made of worked examples to demonstrate the principles being covered. All datasets used in the text are available from upei.ca/mer along with program files and additional sample problems.
Comments: (6)
Bloodray
If there is one book that I really love, it is Szklo and Nieto's 2nd Edition. I heard a third edition just came out. This was a new and fresh and welcoming addition to that book. Szklo and Nieto's language could be, at times, repetitive and one could spend some time deciphering calculations and what they are trying to say. Still theirs is a good must book to read. This one could be taken as a complementary additional text to go through some of the concepts from a different point of view. This book also carries some important additional material which are quite important in my opinion. These additional material and concepts are not in Szklo and Nieto's book. For example, they mention and go in deep about multivariate methods and mixed multivariate methods, which are not discussed elsewhere in other epidemiology books.
Nothing personal
Have to agree with Dr. Hilbe's comments. This is one of the most detailed and well structured expositions on the current research methods in epidemiology. I just wish I had this as a reference a few years ago.
Quemal
I have used the Veterinary version for several years and I love it! This is very similar to that one. Great book!
Envias
This book is very impressive looking. Very thick. It has a lot of really technical looking diagrams that will impress anyone that looks at your book shelf. I would recommend placing it very prominently in front of less important books for maximum benefit.
Kerry
Dohoo et al's new text, Methods in Epidemiologic Research (MER), is in my opinion not only a comprehensive volume on human epidemiology, it is a monumental text on the subject. MER consists of some 900 pages of well-expressed guidelines and annotated statistical output covering all aspects of human epidemiology. The book is a revision by the authors of an earlier similar text on veterinary epidemiology. I thought that text was excellent too. The foremost difference in the texts, of course, relates to the epidemiologic subjects being addressed. In addition, however, the authors have re-written the text, updating both the discussion and references. It is not simply the same 2009 veterinary text, but with human examples; rather, it is a thoroughly new and enhanced book.

The authors begin by discussing the history of scientific inference and epidemiology in general, as well as the nature and relationship of causation and evidence. They then address full chapters to sampling and questionnaire design, measures of disease frequency, screening and diagnostic tests, and measures of association. They then follow with chapters on each of the major types of study; eg. observational, cohort, case-control, and so forth. Problems of validity and confounding conclude the first part of the book . To this point in the text, discussion is generally limited to how data and studies should be conducted and to the philosophy of epidemiologic research. Nearly 360 pages are devoted to this presentation.

Regression does not begin until page 359. The text then provides the reader with a solid exposition of nearly all major types of regression model. Key models to epidemiology in particular such as logistic, Poisson, negative binomial, ordinal and multinomial, and survival regression models are examined in considerable detail. Also addressed are models for clustered and longitudinal data, followed by an excellent chapter on Bayesian analysis and two on spatial regression methods.

This material is generally considered to be substantial for a course on epidemiology. It takes 750 pages to reach this point. However, the authors continue and focus on special problems related to infectious disease epidemiology, structured reviews and meta-analysis, and issues related to ecological studies. A final chapter is presented on data management, which I may have placed at the end of what I have designated as the first part of the book. The authors make so such distinction.

One of the most attractive aspects of the book is that the authors refer to and cite the most recent work on the subjects being discussed. As an editor and associate editor for several statistics journals I review many journal articles. Far too many cite references that are twenty to forty years old, ignoring more comprehensive and authoritative texts published in the last decade. Dohoo and his colleagues have sought to be as current as possible in the modeling advice they give. As result, MER is a truly useful book to use in preparation for an epidemiological project.

Finally, I should mention that the authors employ Stata output for the graphs and statistical examples throughout most of the text. WinBUGS was used for displaying Bayesian results and graphics. The authors give no Stata or WinBUGS code, and the presentation of the subjects discussed in no way is based on these two statistical packages.

MER is a volume that I believe should be in the library of every epidemiologist and biostatistician. Others in the general statistical community will likely find it to be of value as well.
Hanelynai
Book for school.