Methods in Social Epidemiology

ISBN-13: 9781118505595 / Angielski / Miękka / 2017 / 608 str.

J. Michael Oakes;Jay S. Kaufman

Opis

A thorough, practical reference on the social patterns behind health outcomes Methods in Social Epidemiology provides students and professionals with a comprehensive reference for studying the social distribution and social determinants of health. Covering the theory, models, and methods used to measure and analyze these phenomena, this book serves as both an introduction to the field and a practical manual for data collection and analysis. This new second edition has been updated to reflect the field's tremendous growth in recent years, including advancements in statistical modeling and study designs. New chapters delve into genetic methods, structural cofounding, selection bias, network methods, and more, including new discussion on qualitative data collection with disadvantaged populations. Social epidemiology studies the way society's innumerable social interactions, both past and present, yields different exposures and health outcomes between individuals within populations. This book provides a thorough, detailed overview of the field, with expert guidance toward the real-world methods that fuel the latest advances.

• Identify, measure, and track health patterns in the population
• Discover how poverty, race, and socioeconomic factors become risk factors for disease
• Learn qualitative data collection techniques and methods of statistical analysis
• Examine up-to-date models, theory, and frameworks in the social epidemiology sphere

As the field continues to evolve, researchers continue to identify new disease-specific risk factors and learn more about how the social system promotes and maintains well-known exposure disparities. New technology in data science and genomics allows for more rigorous investigation and analysis, while the general thinking in the field has become more targeted and attentive to causal inference and core assumptions behind effect identification. It's an exciting time to be a part of the field, and Methods in Social Epidemiology provides a solid reference for any student, researcher, or faculty in public health.

Spis treści

Tables and Figures xi

About the Editors xvii

About the Authors xix

Preface xxvii

1 Introduction: Advancing Methods in Social Epidemiology 1
Jay S. Kaufman and J. Michael Oakes

PART ONE: MEASURES AND MEASUREMENT 21

2 The Measurement of Socioeconomic Status 23
J. Michael Oakes and Kate E. Andrade

3 Measuring and Analyzing Race, Racism, and Racial Discrimination 43
Saffron Karlsen and James Yzet Nazroo

4 Measuring Poverty 69
David M. Betson and Jennifer L. Warlick

5 Health Inequalities: Measurement and Decomposition 91
Sam Harper and John Lynch

6 A Conceptual Framework for Measuring Segregation and Its Association with Population Outcomes 132
Sean F. Reardon

7 Measures of Residential Community Contexts 158
Patricia O Campo and Margaret O Brien Caughy

PART TWO: DESIGN AND ANALYSIS 177

8 Community–Based Participatory Research: Rationale and Relevance for Social Epidemiology 179
Paula M. Lantz, Barbara A. Israel, Amy J. Schulz, and Angela G. Reyes

9 Social Network Analysis for Epidemiology 212
David A. Shoham and Lynne C. Messer

10 Fieldwork with In–Depth Interviews: How to Get Strangers in the City to Tell You Their Stories 239
Melody L. Boyd and Stefanie DeLuca

11 Experimental Social Epidemiology: Controlled Community Trials 254
Peter J. Hannan

12 Propensity Score Matching for Social Epidemiology 283
J. Michael Oakes and Pamela Jo Johnson

13 Longitudinal Approaches to Social Epidemiologic Research 308
Magdalena Cerdá and Katherine M. Keyes

14 Fixed Effects and Difference–in–Differences 341
Erin C. Strumpf, Sam Harper, and Jay S. Kaufman

15 Fixed Versus Random Effects Models for Multilevel and Longitudinal Data 369
Ashley Schempf Hirai and Jay S. Kaufman

16 Mediation Analysis in Social Epidemiology 398
Arijit Nandi and Tyler J. VanderWeele

17 A Roadmap for Estimating and Interpreting Population Intervention Parameters 432
Jennifer Ahern and Alan E. Hubbard

18 Using Causal Diagrams to Understand Common Problems in Social Epidemiology 458
M. Maria Glymour

19 Natural Experiments and Instrumental Variables Analyses in Social Epidemiology 493
M. Maria Glymour, Stefan Walter, and Eric J. Tchetgen Tchetgen

Index 539

O autorze

Michael Oakes, PhD, is Associate Professor and Co–Director, US Census Data Research Center. Division of Epidemiology & Community Health, School of Public Health, University of Minnesota. In 2007 he was a named a McKnight Presidential Fellow, an award given to a select group of the University′s most promising new associate professors. In 2010 he was awarded the Schuman award for excellence in graduate teaching, the School of Public Health′s highest teaching honor. Among other things, he is currently Co–Chair of UMN′s Institutional Review Board (IRB) for the protection of human research subjects and Vice–Chair of UMN′s conflict of interest (COI) committee.

Jay S. Kaufman, PhD,is Professor and Canada Research Chair in Health Disparities in the Department of Epidemiology, Biostatistics and Occupational Health at McGill University, and Visiting Professor in the School of Public Health of the University of Chile. He is an editor at the journal "Epidemiology" and an associate editor at "American Journal of Epidemiology", and has been awarded the Rothman Epidemiology Prize (1998), a Robert Wood Johnson Foundation Investigator Award in Health Policy Research (2006–2008), a Fulbright Fellowship (2007) and the Wade Hampton Frost Lectureship (2014).

Blurb

Methods in Social Epidemiology provides students and professionals with a comprehensive reference for studying the social distribution and social determinants of health. Covering the theory, models, and methods used to measure and analyze these phenomena, this book serves as both an introduction to the field and a practical manual for data collection and analysis. This new second edition has been updated to reflect the field′s tremendous growth in recent years, including advancements in statistical modeling and study designs. New chapters delve into genetic methods, structural cofounding, selection bias, network methods, and more, including new discussion on qualitative data collection with disadvantaged populations.

Social epidemiology studies the way society′s innumerable social interactions, both past and present, yields different exposures and health outcomes between individuals within populations. This book provides a thorough, detailed overview of the field, with expert guidance toward the real–world methods that fuel the latest advances.

• Identify, measure, and track health patterns in the population
•  Discover how poverty, race, and socioeconomic factors become risk factors for disease
• Learn qualitative data collection techniques and methods of statistical analysis
• Examine up–to–date models, theory, and frameworks in the social epidemiology sphere

As the field continues to evolve, researchers continue to identify new disease–specific risk factors and learn more about how the social system promotes and maintains well–known exposure disparities. New technology in data science and genomics allows for more rigorous investigation and analysis, while the general thinking in the field has become more targeted and attentive to causal inference and core assumptions behind effect identification. It′s an exciting time to be a part of the field, and Methods in Social Epidemiology provides a solid reference for any student, researcher, or faculty in public health.