Epidemiology an introduction rothman pdf

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Rothman, Kenneth J. published by Oxford University. Press, USA () PDF by aa: Epidemiology: An Introduction 2nd (second) Edition by. Rothman, Kenneth. Editorial Reviews. Review. "In summary, Epidemiology: An Introduction is a superb addition to . Rothman's Epidemiology is a must for everybody interested in the discipline. He is a stubborn challenger of the common understanding of basic. PDF. Epidemiology. An introduction. Free. Loading. S Márquez-Calderón The aim of this book is clearly stated by K J Rothman in the preface: “ to present a Chapter 1 is an introduction to epidemiological thinking, based on the concept.

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Request PDF on ResearchGate | Epidemiology. An introduction: K J Rothman | The aim of this book is clearly stated by K J Rothman in the preface: “ to. KWH. [PDF] Epidemiology: An Introduction Unlimited. Detail ○ ○ ○ ○ ○ ○. Author: Kenneth J. Rothman Pages: pages Publisher. BOOK REVIEW Epidemiology: An Introduction Kenneth J. Rothman, Oxford University Press, , pages, $ Kenneth Rothman wrote in the preface of.

David L Streiner. Michael B. Bryan E. Updates on our upcoming offers and new releases Competitions Discounts All the latest news from the Bookshop team Simply enter your email address into the box below and click 'Join'. Thomas D. Item s unavailable for purchase. Chapter 2 deals with causation.

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Andrew E. Craig H. Evidence Based Pathology and Laboratory Medicine. Subsequently, Rothman focused in his book primarily on describing and explaining epidemiologic principles and concepts, and he mentioned statistics, formulas, and computations only where absolutely necessary.

This makes this book easy to read and understand.

Rothman mentioned that he essentially wrote this book as a textbook for students of epidemiology. More specifically, he selected topics that constitute the basic knowledge in epidemiology typically taught in a first course of epidemiology at schools of public health.

Furthermore, the book appears to be suitable for biomedical and bioveterinary researchers who did not receive a formal education in this field and who are interested to learn the principles and concepts of epidemiology in a self-study format. Rothman divided his book into 11 chapters. Each of the chapters is carefully prepared and well illustrated by numerous tables, charts, graphs, diagrams, and schematics.

Discussions of special topics e. At the end of each chapter, Rothman provides a list of questions for deeper reflection of the learned material, as well as a list of valuable references to stimulate further reading.

The first chapter gives the reader a useful introduction to epidemiologic thinking. Rothman defines epidemiology and describes a population pyramid, crude data, age as a confounding factor in epidemiologic comparisons, and the importance of stratification of epidemiologic data.

Chapter 2 deals with causation. All rights reserved. He also discusses terms such as point-source and propagated epidemics. In chapter 4, Rothman gives an overview of the two main types of epidemiologic study designs, namely, the cohort study and the case-control study, along with several variants e. He also discusses the selection of a control group in case-control studies, such as population controls, neighborhood controls, random-digit dialing, hospital- or clinicbased controls, and deceased people.

Rothman also mentions the cross-sectional study design and its use as a good proxy for longitudinal data. Chapter 5 deals with the important issue of biases in study designs and he discusses systematic error. Rothman explains different types of biases, including selection bias and information bias, and mentions that confounding i. In chapter 6, Rothman explains random error i.

Epidemiology: An Introduction

He defines estimation, confidence interval, p value, and statistical significance, as well as chance. The seventh chapter is devoted to the analysis of simple epidemiologic data. Rothman concentrates on formulas for obtaining confidence intervals for basic epidemiologic measures and includes also formulas to derive p values. Although this is the section that contains the largest number of formulas and computations in the book, they are all well explained and thus easy to understand.

In chapter 8, Rothman describes in detail how to control confounding by stratifying data. He shows that stratification is essentially a cross-tabulation of data. He also describes pooling and standardization, including their formulas for combining the data across strata. Chapter 9 is devoted to the measurement of interactions. Rothman explains effect —measure modification, and distinguishes between statistical interaction and biologic interaction.