Successfully Tested In The Authors' Courses At Boston University And Harvard University, This Text Combines Theory And Practice In Presenting Traditional And New Epidemiologic Concepts. Broad In Scope, The Text Opens With Five Chapters Covering The Basic Epidemiologic Concepts And Data Sources. A Major Emphasis Is Placed On Study Design, With Separate Chapters Devoted To Each Of The Three Main Analytic Designs: Experimental, Cohort, And Case-Control Studies. Full Chapters On Bias, Confounding, And Random Error, Including The Role Of Statistics In Epidemiology, Ensure That Students Are Well-Equipped With The Necessary Information To Interpret The Results Of Epidemiologic Studies. An Entire Chapter Is Also Devoted To The Concept Of Effect Measure Modification, An Often-Neglected Topic In Introductory Textbooks. Up-To-Date Examples From The Epidemiologic Literature On Diseases Of Public Health Importance Are Provided Throughout The Book. The Third Edition Is A Thorough Update That Offers: •New Examples, The Latest References, And Public Health Statistics. •Nearly 50 New Review Questions. •Updated Discussion Of Certain Epidemiologic Methods. •New Figures Depicting Epidemiologic Concepts.
I've read a few epidemiology textbooks and this one has been the most accessible of the bunch - although including formulas and their explanations there is plenty of content that isn't focused on formula digestion. It also presented observational studies, and case-control study designs in particular, in a more contemporary and balanced light without the disdain that is easily recognized in other texts. As a textbook or access point for interested readers I think it serves quite well.
While it makes the concepts easy to understand, it's horrifically repetitive. Using the same word for word sentences or paragraphs repeatedly. It's really annoying for me.
An excellent entry-level book for epidemiology. Concise and easy to understand. It isn't exhaustive however; you'll need further reading for more advanced topics (multivariate analyses, survey design, in-depth cohort study design, etc).