Modern Epidemiology / Edition 3

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Overview

Modern Epidemiology returns in this thoroughly revised and updated Third Edition. This popular textbook describes the conceptual underpinnings of the rapidly evolving science of epidemiology, addressing the methodologic issues crucial to the wide range of epidemiologic applications in public health and medicine. Coauthored by three leading epidemiologists, with contributions from sixteen experts in a variety of epidemiologic sub-disciplines, this new edition is by far the most comprehensive and cohesive text on the principles and methods of epidemiologic research.

Modern Epidemiology covers a broad range of concepts and methods, including epidemiologic measures of occurrence and effect, study designs, validity, precision, statistical inference, and causal diagrams. Topics in data analysis range from basic tabular analyses to stratified analysis, multiple comparisons, Bayesian analysis, sensitivity analysis, and bias analysis, with an extensive overview of modern regression methods including logistic and survival regression, splines, hierarchical (multilevel) regression, propensity scores and other scoring methods, and g-estimation.

Special-topics chapters cover disease surveillance, instrument design, use of secondary data, ecologic studies, social epidemiology, infectious disease epidemiology, genetic and molecular epidemiology, nutritional epidemiology, environmental epidemiology, reproductive epidemiology, clinical epidemiology, and meta-analysis. The chapters on causal diagrams, Bayesian analysis, bias analysis, social epidemiology, and use of secondary data are new to the third edition.

About the Author:
Kenneth J. Rothman, Vice President, EpidemiologyResearch, RTI Health Solutions, Professor of Epidemiology and Medicine, Boston, Massachusetts

About the Author:
Sander Greenland Professor of Epidemiology and Statistics, University of California, Los Angeles, California

About the Author:
Timothy L. Lash Associate Professor of Epidemiology and Medicine, Boston University, Boston, Massachusetts

The book contains black-and-white illustrations.

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Editorial Reviews

Bernard J. Turnock
Epidemiology has become an essential tool for both public health professionals and clinical practitioners. As a result, there has been a plethora of introductory and basic texts on the subject targeted to students and others seeking only a simple understanding of its basic concepts. This book presents the field in a broader and more comprehensive context. The basics are still provided, but not in a manner that facilitates learning through practicing the skills. Its primary intent is to serve as a resource and reference for the more serious practitioners of epidemiology, including researchers in public health and clinical sciences. Epidemiologists in public and private settings, researchers involved in both observational and experimental inquiry, and graduate level students in epidemiology and biostatistics will find this work of value. Less serious audiences will miss the usual practice problems and exercises usually found in the more basic epidemiology texts. The book's features are unremarkable. There is appropriate use of tables, graphs, and charts, although somewhat less frequent than one might expect. A unique aspect of this book is its comprehensiveness, with virtually all important topics covered in its 700-plus pages. This book will serve well as a resource and reference for epidemiologists and researchers. It is not the kind of book that a novice can pick up and digest easily. However, it very competently covers the field and its major applications in the 1990s by providing consistent threads and themes throughout its presentation of concepts and methods. This would be a solid addition to health science libraries in university and other research settings.
From The Critics
Reviewer:Bernard J. Turnock, MD, MPH(University of Illinois at Chicago)
Description:Epidemiology has become an essential tool for both public health professionals and clinical practitioners. As a result, there has been a plethora of introductory and basic texts on the subject targeted to students and others seeking only a simple understanding of its basic concepts. This book presents the field in a broader and more comprehensive context. The basics are still provided, but not in a manner that facilitates learning through practicing the skills.
Purpose:Its primary intent is to serve as a resource and reference for the more serious practitioners of epidemiology, including researchers in public health and clinical sciences.
Audience:Epidemiologists in public and private settings, researchers involved in both observational and experimental inquiry, and graduate level students in epidemiology and biostatistics will find this work of value. Less serious audiences will miss the usual practice problems and exercises usually found in the more basic epidemiology texts.
Features:The book's features are unremarkable. There is appropriate use of tables, graphs, and charts, although somewhat less frequent than one might expect. A unique aspect of this book is its comprehensiveness, with virtually all important topics covered in its 700-plus pages.
Assessment:This book will serve well as a resource and reference for epidemiologists and researchers. It is not the kind of book that a novice can pick up and digest easily. However, it very competently covers the field and its major applications in the 1990s byproviding consistent threads and themes throughout its presentation of concepts and methods. This would be a solid addition to health science libraries in university and other research settings.

3 Stars from Doody
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Product Details

  • ISBN-13: 9780781755641
  • Publisher: Lippincott Williams & Wilkins
  • Publication date: 3/1/2008
  • Edition description: Third
  • Edition number: 3
  • Pages: 851
  • Product dimensions: 6.90 (w) x 10.10 (h) x 1.10 (d)

Table of Contents

INTRODUCTION

Modern Epidemiology
Kenneth J. Rothman, Sander Greenland, and Timothy L. Lash

BASIC CONCEPTS

Causation and Causal Inference
Kenneth J. Rothman, Sander Greenland, Charles Poole, and Timothy L. Lash

Measures of Occurrence
Sander Greenland and Kenneth J. Rothman

Measures of Effect and Measures of Association
Sander Greenland, Kenneth J. Rothman, and Timothy L. Lash

Concepts of Interaction
Sander Greenland, Kenneth J. Rothman, and Timothy L. Lash

STUDY DESIGN AND CONDUCT

Types of Epidemiologic Studies
Kenneth J. Rothman, Sander Greenland, and Timothy L. Lash

Cohort Studies
Kenneth J. Rothman and Sander Greenland

Case-control Studies
Kenneth J. Rothman, Sander Greenland, and Timothy L. Lash

Validity in Epidemiologic Studies
Kenneth J. Rothman, Sander Greenland, and Timothy L. Lash

Precision and Statistics in Epidemiologic Studies
Kenneth J. Rothman, Sander Greenland, and Timothy L. Lash

Design Strategies to Improve Study Accuracy
Kenneth J. Rothman, Sander Greenland, and Timothy L. Lash

Causal Diagrams
M. Maria Glymour and Sander Greenland

DATA ANALYSIS

Fundamentals of Epidemiologic Data Analysis
Sander Greenland and Kenneth J. Rothman

Introduction to Categorical Statistics
Sander Greenland and Kenneth J. Rothman

Introduction to Stratified Analysis
Sander Greenland and Kenneth J. Rothman

Applications of Stratified Analysis Methods
Sander Greenland

Analysis of Polytomous Exposures and Outcomes
Sander Greenland

Introduction to Bayesian Statistics
Sander Greenland

Bias Analysis
Sander Greenland and Timothy L. Lash

Introduction to Regression Models
Sander Greenland

Introduction to Regression Modeling
Sander Greenland

SPECIAL TOPICS

Surveillance
James W. Buehler

Using Secondary Data
Jørn Olsen

Field Methods in Epidemiology
Patricia Hartge and Jack Cahill

Ecologic Studies
Hal Morgenstern

Social Epidemiology
Jay S. Kaufman

Infectious Disease Epidemiology
C. Robert Horsburgh Jr. and Barbara E. Mahon

Genetic and Molecular Epidemiology
Muin J. Khoury, Robert Millikan, and Marta Gwinn

Nutritional Epidemiology
Walter C. Willett

Environmental Epidemiology
Irva Hertz-Picciotto

Methodologic Issues in Reproductive Epidemiology
Clarice R. Weinberg and Allen J. Wilcox

Clinical Epidemiology
Noel S. Weiss

Meta-analysis
Sander Greenland and Keith O'Rourke

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