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大好評の現代疫学のテキスト、全面改訂第3版。進化する科学としての疫学の概念的発達や、公衆衛生及び医療問題を扱う際に疫学の重要性が増していることを反映した内容となっている。新版では疫学の権威3名に新たに16名の執筆者を加え、疫学研究の理論及び方法を総合的にかつ凝縮して解説する。幅広い概念や方法を取り上げており、疾患の頻度や関連事項の基本的な測定、研究デザイン、実地調査の方法、妥当性への脅威、精度の評価などの項目を収載する。また、ベイズ分析、バイアスの分析、階層的回帰分析といったデータ分析の最新トピックスも取り扱い、各章では疾患サーベイランス、生態学的研究、社会疫学、感染症疫学、遺伝疫学と分子疫学、栄養疫学、環境疫学、生殖疫学、臨床疫学などの特定分野を詳しく検討する。
Book Description
The thoroughly revised and updated Third Edition of the acclaimed Modern Epidemiology reflects both the conceptual development of this evolving science and the increasingly focal role that epidemiology plays in dealing with public health and medical problems. Coauthored by three leading epidemiologists, with sixteen additional contributors, this Third Edition is the most comprehensive and cohesive text on the principles and methods of epidemiologic research. The book covers a broad range of concepts and methods, such as basic measures of disease frequency and associations, study design,field methods, threats to validity, and assessing precision. It also covers advanced topics in data analysis such as Bayesian analysis, bias analysis, and hierarchical regression. Chapters examine specific areas of research such as disease surveillance, ecologic studies, social epidemiology, infectious disease epidemiology, genetic and molecular epidemiology, nutritional epidemiology, environmental epidemiology, reproductive epidemiology, and clinical epidemiology.
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形式:ハードカバー|Amazonが確認した購入
疫学を勉強するならこれが王道です。正統派な内容で、これを一冊読めばかなり疫学に詳しくなるはずです。初心者でもゆっくり読めば力になると思います。
1 人中、0人の方が、｢このレビューが参考になった｣と投票しています。
形式:ハードカバー
臨床研究のデザインや統計については「知ったかぶり」で書かれた本が多いですが、この本は本物のEpidemiologyを伝えています。
日本の大学院でもこの本のレベルで講義が行われればよいのですが、日本の大学教授レベルではこの内容を理解できる人は殆どいないと思います。例えばＰ１７５からは、ケースコントロール研究において、年齢や性別などの背景を揃えてコントロールを選んでくると、多変量解析でも補正できない選択バイアスが生じる事が詳細に記されていますが、私はこの本でその理論的背景を理解しました。
Epidemiologyの本物を学びたい人に取っては必読書と言えると思います。
日本の大学院でもこの本のレベルで講義が行われればよいのですが、日本の大学教授レベルではこの内容を理解できる人は殆どいないと思います。例えばＰ１７５からは、ケースコントロール研究において、年齢や性別などの背景を揃えてコントロールを選んでくると、多変量解析でも補正できない選択バイアスが生じる事が詳細に記されていますが、私はこの本でその理論的背景を理解しました。
Epidemiologyの本物を学びたい人に取っては必読書と言えると思います。
Amazon.com で最も参考になったカスタマーレビュー (beta)
Amazon.com:
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29 人中、25人の方が、｢このレビューが参考になった｣と投票しています。
As yet, an unparalleled reference on the science of epidemiology
2008/4/9
形式:ハードカバー
Masterly. Rothman and coworkers' 3rd edition of the classic `Modern Epidemiology' is a landmark step in presenting with cohesiveness and clarity traditional + cutting-edge concepts and methods for observational research (and by extension for experimental research on human subjects as well, since problems like unblinding or loss-to-follow-up may reintroduce bias in clinical trials after randomization, with a corresponding need for epidemiological interpretative and analytical tools).
This highly regarded volume has no equal, as it has been not only an authoritative source of information but `the' reference on epi methods for almost a quarter century. For those looking for an introductory level textbook, Rothman's one by Oxford University Press is highly recommended, since the comprehensive `Modern Epidemiology' requires some previous exposure to the concepts and biostatistical methods presented.
The 3rd edition is an encyclopedic effort, brings methodological coherence to a whole new level, is highly readable, and confirms itself as the standard reference on epidemiological and clinical research for many more years to come. An outstanding scholarly achievement.
Definitely a must-have for anyone who needs to learn and apply basic/advanced epidemiological methods rigorously in clinical as well as general population settings.
This highly regarded volume has no equal, as it has been not only an authoritative source of information but `the' reference on epi methods for almost a quarter century. For those looking for an introductory level textbook, Rothman's one by Oxford University Press is highly recommended, since the comprehensive `Modern Epidemiology' requires some previous exposure to the concepts and biostatistical methods presented.
The 3rd edition is an encyclopedic effort, brings methodological coherence to a whole new level, is highly readable, and confirms itself as the standard reference on epidemiological and clinical research for many more years to come. An outstanding scholarly achievement.
Definitely a must-have for anyone who needs to learn and apply basic/advanced epidemiological methods rigorously in clinical as well as general population settings.
5 人中、5人の方が、｢このレビューが参考になった｣と投票しています。
excellent and very up-to-date
2010/6/17
形式:ハードカバー|Amazonが確認した購入
I am a social scientist, not an epidemiologist, and I found this book to exceptionally good. It is the most current, complete, and clear presentation of methods for causal inference for observational (i.e. non-experimental) studies that I have seen. The things that really set this book apart for me include:
1. It synthesizes contributions by Pearl and Rubin on the foundations of causal inference, and contributes its own perspective via the sufficient cause model. This is truly cutting edge, not to mention impeccably coherent.
2. The first third of the book is on study design, including measurement, sampling, and defining effects. This is just fantastic. Many methods textbooks jump right into approaches to analyzing data with little time taken to discuss how to make the data in the first place. This book provides a major corrective to that tendency.
3. In data analysis, a lot of attention is given to sparse data problems, which again is just great. So many textbooks overlook this problem, which is a huge omission.
4. The data analysis section includes discussion of up-and-coming data mining and non-parametric methods (e.g. BART, boosted regression, etc.) to characterize response surfaces in the service of causal inference. That's amazingly cutting edge for a textbook.
5. The meta-analysis section emphasizes simplicity and provides a very nice list of common errors that should be avoided.
6. The references are to state of the art literature not only in epidemiology, but also in econometrics, education research, and statistics. It's great to see such cross-fertilization across disciplines, and it shows how these various disciplines are converging, it seems, on common analytical tools for causal inference in observational studies.
There are lots of nice examples throughout the book too. For other social scientists out there, I highly recommend this as a primer on state of the art methods for carrying out observational studies.
1. It synthesizes contributions by Pearl and Rubin on the foundations of causal inference, and contributes its own perspective via the sufficient cause model. This is truly cutting edge, not to mention impeccably coherent.
2. The first third of the book is on study design, including measurement, sampling, and defining effects. This is just fantastic. Many methods textbooks jump right into approaches to analyzing data with little time taken to discuss how to make the data in the first place. This book provides a major corrective to that tendency.
3. In data analysis, a lot of attention is given to sparse data problems, which again is just great. So many textbooks overlook this problem, which is a huge omission.
4. The data analysis section includes discussion of up-and-coming data mining and non-parametric methods (e.g. BART, boosted regression, etc.) to characterize response surfaces in the service of causal inference. That's amazingly cutting edge for a textbook.
5. The meta-analysis section emphasizes simplicity and provides a very nice list of common errors that should be avoided.
6. The references are to state of the art literature not only in epidemiology, but also in econometrics, education research, and statistics. It's great to see such cross-fertilization across disciplines, and it shows how these various disciplines are converging, it seems, on common analytical tools for causal inference in observational studies.
There are lots of nice examples throughout the book too. For other social scientists out there, I highly recommend this as a primer on state of the art methods for carrying out observational studies.
15 人中、12人の方が、｢このレビューが参考になった｣と投票しています。
Disappointed with paper/printing quality
2009/3/6
形式:ハードカバー
I borrowed the 2nd edition from a colleague and was so impressed with the book that I ordered it immediately. This book has no equal in terms of content (the word 'encyclopedia' is aptly used in a previous review). The statistical explanations are what really set this book apart from other epidemiological textbooks. The price was surprisingly low compared to other textbooks on the market.
Unfortunately, after receiving the book, I see how they managed to keep the price down. The type is small, the margins are small and the paper is thin. Also, to me (highly subjective), the paper has an unpleasant desiccating feel. Finally, I like to mark up my books with highlighting and notes in the margins -- but this just makes a mess out of this book. Highlighting bleeds through and pencil notations are visible from the opposite side of the page. The 2nd edition was more robust.
Publishers can't win. Most books are too expensive. This (outstanding) book comes in at a great price -- but the compromises are painfully evident.
Unfortunately, after receiving the book, I see how they managed to keep the price down. The type is small, the margins are small and the paper is thin. Also, to me (highly subjective), the paper has an unpleasant desiccating feel. Finally, I like to mark up my books with highlighting and notes in the margins -- but this just makes a mess out of this book. Highlighting bleeds through and pencil notations are visible from the opposite side of the page. The 2nd edition was more robust.
Publishers can't win. Most books are too expensive. This (outstanding) book comes in at a great price -- but the compromises are painfully evident.
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