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Social epidemiology is the study of how social interactions—social norms, laws, institutions, conventia, social conditions and behavior—affect the health of populations. This practical, comprehensive introduction to methods in social epidemiology is written by experts in the field. It is perfectly timed for the growth in interest among those in public health, community health, preventive medicine, sociology, political science, social work, and other areas of social research.

Topics covered are:

• Introduction: Advancing Methods in Social Epidemiology
• The History of Methods of Social Epidemilogy to 1965
• Indicators of Socioeconomic Position
• Measuring and Analyzing ‘Race’
• Racism and Racial Discrimination
• Measuring Poverty
• Measuring Health Inequalities
• A Conceptual Framework for Measuring Segregation and its Association with Population Outcomes
• Measures of Residential Community Contexts
• Using Census Data to Approximate Neighborhood Effects
• Community-based Participatory Research: Rationale and Relevance for Social Epidemiology
• Network Methods in Social Epidemiology
• Identifying Social Interactions: A Review, Multilevel Studies
• Experimental Social Epidemiology: Controlled Community Trials
• Propensity Score Matching Methods for Social Epidemiology
• Natural Experiments and Instrumental Variable Analyses in Social Epidemiology
• and Using Causal Diagrams to Understand Common Problems in Social Epidemiology.

“Publication of this highly informative textbook clearly reflects the coming of age of many social epidemiology methods, the importance of which rests on their potential contribution to significantly improving the effectiveness of the population-based approach to prevention. This book should be of great interest not only to more advanced epidemiology students but also to epidemiologists in general, particularly those concerned with health policy and the translation of epidemiologic findings into public health practice. The cause of achieving a ‘more complete’ epidemiology envisaged by the editors has been significantly advanced by this excellent textbook.”
—Moyses Szklo, professor of epidemiology and editor-in-chief, American Journal of Epidemiology, Johns Hopkins University

“Social epidemiology is a comparatively new field of inquiry that seeks to describe and explain the social and geographic distribution of health and of the determinants of health. This book considers the major methodological challenges facing this important field. Its chapters, written by experts in a variety of disciplines, are most often authoritative, typically provocative, and often debatable, but always worth reading.”
—Stephen W. Raudenbush, Lewis-Sebring Distinguished Service Professor, Department of Sociology, University of Chicago

“The roadmap for a new generation of social epidemiologists. The publication of this treatise is a significant event in the history of the discipline.”
—Ichiro Kawachi, professor of social epidemiology, Department of Society, Human Development, and Health, Harvard University

“Methods in Social Epidemiology not only illuminates the difficult questions that future generations of social epidemiologists must ask, it also identifies the paths they must boldly travel in the pursuit of answers, if this exciting interdisciplinary science is to realize its full potential. This beautifully edited volume appears at just the right moment to exert a profound influence on the field.”
—Sherman A. James, Susan B. King Professor of Public Policy Studies, professor of Community and Family Medicine, professor of African-American Studies, Duke University

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The Encyclopedia of Epidemiology presents state-of-the-art information from the field of epidemiology in a less technical and accessible style and format. With more than 600 entries, no single reference provides as comprehensive a resource in as focused and appropriate manner. The entries cover every major facet of epidemiology, from risk ratios to case-control studies to mediating and moderating variables, and much more. Relevant topics from related fields such as biostatistics and health economics are also included.

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Highly praised for its broad, practical coverage, the second edition of this popular text incorporated the major statistical models and issues relevant to epidemiological studies. Epidemiology: Study Design and Data Analysis, Third Edition continues to focus on the quantitative aspects of epidemiological research. Updated and expanded, this edition shows students how statistical principles and techniques can help solve epidemiological problems.

New to the Third Edition

– New chapter on risk scores and clinical decision rules

– New chapter on computer-intensive methods, including the bootstrap, permutation tests, and missing value imputation

– New sections on binomial regression models, competing risk, information criteria, propensity scoring, and splines

– Many more exercises and examples using both Stata and SAS

– More than 60 new figures

After introducing study design and reviewing all the standard methods, this self-contained book takes students through analytical methods for both general and specific epidemiological study designs, including cohort, case-control, and intervention studies. In addition to classical methods, it now covers modern methods that exploit the enormous power of contemporary computers. The book also addresses the problem of determining the appropriate size for a study, discusses statistical modeling in epidemiology, covers methods for comparing and summarizing the evidence from several studies, and explains how to use statistical models in risk forecasting and assessing new biomarkers. The author illustrates the techniques with numerous real-world examples and interprets results in a practical way. He also includes an extensive list of references for further reading along with exercises to reinforce understanding.

Web Resource

A wealth of supporting material can be downloaded from the book’s CRC Press web page, including:

– Real-life data sets used in the text

– SAS and Stata programs used for examples in the text

– SAS and Stata programs for special techniques covered

– Sample size spreadsheet

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https://nitroflare.com/view/164B8599FD60753/Epidemiology__study_design_and_data_analysis.pdf