"A highly readable and practical guide, with numerous examples and exercises."--Robert E. McKeown in Epidemiology Monitor
From reviews of the first edition:
"A much-needed, descriptive, informative, comprehensive, and up-to-date guide to the many theoretical facts as well as the important practical applications of observational epidemiology. [The authors] expand on many concepts their colleagues merely label and focus these topics as the essence of epidemiological issues....The book is excellently illustrated with appropriate tables and figures that aid in the lucid presentation and clarification of the concepts and examples covered....Should serve as an excellent text for students learning methodology in epidemiology and as a handy and reliable reference source for scientists and researchers actively involved in non-experimental epidemiologic investigations."--Yale Journal of Biology and Medicine
"The most impressive feature...is its clarity....Throughout the book principles are illustrated by well-chosen examples from studies on a wide diversity of diseases."--The Lancet
"A comprehensive methods book covering a broad range of topics....Important and complicated concepts are communicated in a readable format with a minimum of symbols and equations, making this text appropriate to a wide audience within the field of public health....Well written...I highly recommend this book both as a graduate level text, and as a basic reference for practicing professionals."--Epidemiology Monitor
"This second edition has a number of features that clearly distinguish it from other books covering epidemiologic research methods...The book appears...useful as either a course textbook or for use in self-study....The pervasive reference to sources for more in-depth coverage of specific points is a strength often missing from texts attempting to cover a discipline broadly."--American Journal of Preventive Medicine
"This book received positive reviews at the time of the first edition and it offers the same good overview in the second edition of the topics confronted by epidemiologists ....Among the growing number of textbooks in epidemiology, this one should find a niche among the working epidemiologist."--Doody's Health Sciences Book Review Journal
"The second edition is a solid contribution to the field of epidemiology."--Chronic Diseases in Canada
ByS. Cudjoeon April 26, 2017 - Published on Amazon.com
Format: Hardcover|Verified Purchase
This was the textbooks for my epidemiology II course. While the book does go over most observational studies, I did not like the book because of the questions at the end of the chapters.
Example 1. Chapter 9, Case control, question 2. states: The table below presents results from a logistic regression analysis of breast cancer cases and unmatched controls from the same study as the ovarian cancer cases and controls described in this chapter... c. How much more likely to develop breast cancer is a woman whose menopause occurs at age 55 than...This is not a hard question, my issue was the "table below" did not have the information. Since it was the study from the chapter, I went in the chapter and found what I needed. Minor nuisance for me but several of my colleagues were stumped because they couldn't find the appropriate information on the table we were referred to.
Example 2, Chapter 12 (Sample size), it was difficult doing problem 2.d.. The question asks "2.) Assume that the annual incidence rate for breast cancer among those exposed to oral contraceptives is 4.4 per 10,000, and among those not exposed is 2.2 per 10,000. D. If 25% of women are exposed in the general population to oral contraceptives then how many cases and controls will be needed? When working this problem we need Pbar for the formula. The formula to get Pbar requires the proportion for P0 and P1. Well, in this case, since the exposure for P0 is 25%, that means exposure for P1 is different and what was given. I found out that I needed to do the proportion equation for P1, but that equation requires the odds ratio (OR). The OR is not given. Neither the chapter nor the question states what the OR should be. Our instructor told us that we should use 2, after we all got the problem wrong.
Example 3. Ch 13 measurement error. The incidence of a rare blood disorder, 8 out of 10,000 exposed individuals actually develop the disorder, as opposed to 3 out of 10,000 unexposed individuals. What would be the observed risk ratio if...sensitivity of 99% and a specificity of 98%. In the book, how to work the problem is not in an easy to read format. The problem is worked narrative style in the text, as opposed to by itself. Second the sample used exposed for both cases and controls. The question is provided the exposed and unexposed for cases. I worked the problem as what is in the book but I'm not sure if it is correct. The problem is when trying to calculate the new odds ratio. The box for unexposed cases are different from exposed controls.
The examples above are just three of the question issues I had with the book. I felt the book did not always do well explaining the proper terms to use for the formulas, or it did not show the examples in an easy to read and understand format. I also did not care for the index. I felt it was lacking. I remember looking for 'retrospective cohort' under R and it was not there, not even to say, go to Cohort, retrospective. Since, it is an entire Chapter, (CH 5), I would think they would have thought to put it under R. A minor nuisance but a nuisance nonetheless.