Modern Epidemiology

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 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. The book covers a broad range of concepts and methods, including epidemiologic measures of occurrence and effect, study designs, validity, precision, statistical interference, and causal diagrams. Topics in data analysis range from Bayesian analysis, sensitivity analysis, and bias analysis, with an extensive overview of modern regression methods including logistic and survival regression, splines, hierarchical (multilevel) regression, propsensity scores and other scoring methods, and g-estimation. Special-topics chapters cover disease surveillance, ecologic studies, social epidemiology, infectious disease epidemiology, genetic and molecular epidemiology, nutritional epidemiology, environmental epidemiology, reproductive epidemiology, clinical epidemiology, and meta-analysis.

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.

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, hirarchical (multilevel) regression, propensity scores and other scoring methods, and g-estimation. Special-topics chapters cover disease surveillance, instrument design, use of secondary data, ecologis 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 This book reflects the remarkable conceptual development of this evolving science and the engagement of epidemiologists with an increasing range of current public health concerns. Coverage of basic measures and study types is more thorough and includes a new chapter on field methods. New chapters on advanced topics in data analysis, such as hierarchical regression, are also included. A new section covers specific areas of research such as infectious disease epidemiology, ecologic studies, disease surveillance, analysis of vital statistics, screening, clinical epidemiology, environmental and occupational epidemiology, reproductive and perinatal epidemiology, genetic epidemiology, and nutritional epidemiology