CiNii Books - 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 sixteen additional contributors, this Third Edition is the most comprehensive and cohesive text on the principles and methods of epidemiologic research. The book covers a broad range of concepts and methods, such as basic measures of disease frequency and associations, study design,field methods, threats to validity, and assessing precision. It also covers advanced topics in data analysis such as Bayesian analysis, bias analysis, and hierarchical regression. Chapters examine specific areas of research such as disease surveillance, ecologic studies, social epidemiology, infectious disease epidemiology, genetic and molecular epidemiology, nutritional epidemiology, environmental epidemiology, reproductive epidemiology, and clinical epidemiology.

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 Jorn 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

Volume: : [China] ISBN 9781451190052

Description

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. FEATURES: Comprehensive and cohesive text on the principles and methods of contemporary epidemiologic research Addresses the methodologic issues crucial to the wide range of epidemiologic applications in public health and medicine Major sections cover basic concepts, study design and conduct, data analysis, and special topics Completely revised and updated to bring you the most updated information New chapters cover causal modeling: Bayesian analysis, probabilistic bias analysis, social epidemiology, and use of secondary data Includes online access to full text so you have access to the content anytime (Errata, July 2014)

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Modern epidemiology

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