Applied Playlists
SERplaylists are curated collections of key papers and expert commentary on foundational topics in epidemiology. Designed by leaders in the field, these playlists offer a guided pathway through core methodological and substantive themes.
Playlist
Authored by Haidong Lu and Jay Kaufman (McGill University), this SERplaylist revisits the evolving concept of selection bias in epidemiology. Building upon the 2017 playlist, it curates key scholarly articles published since then to guide readers through current perspectives and foundational developments in understanding selection bias. This updated compilation offers a structured entry point for both new and experienced researchers interested in methodological progress within the field.
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Kate Lemasters and Lauren Zalla explain the essentials of descriptive epidemiology—how health and disease patterns are measured and interpreted across populations. This playlist offers practical insights for summarizing data and identifying trends in public health research.
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Explore the concept of the exposome—the totality of environmental exposures influencing health across a lifetime. This playlist features scholarly insights into how these exposures interact with genetics and shape disease risk.
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Tara Jenson, Marcia Pescador Jimenez, and Jennifer Weuve shed light on mixed and multilevel modeling in epidemiology. This playlist explains how these advanced methods handle complex data structures, improve accuracy, and enhance interpretation in public health research.
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Amrita Rao explores strategies for sampling hard-to-reach populations in epidemiologic research. This playlist discusses innovative approaches to improve representation, address bias, and ensure valid findings when studying groups that are often underrepresented in public health studies.
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Alex Keil explains healthy worker survivor bias and its impact on occupational epidemiology. This playlist explores how this bias can distort study results, why it occurs, and strategies researchers can use to address it for more accurate findings.
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Anusha Vable, Zinzi Bailey, and Julia Raifman examine the role of plausible counterfactuals in studying structural racism and its impact on population health. This playlist explores methodological approaches for addressing systemic inequities and improving causal inference in epidemiologic research.
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Ashley Naimi introduces machine learning applications in epidemiology, explaining how these advanced methods can uncover patterns, improve predictions, and enhance public health research. This playlist explores opportunities and challenges in integrating machine learning into epidemiologic studies.
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Arrianna Marie Planey explores anti-racist approaches in public health research, emphasizing frameworks that confront structural inequities and promote health justice. This playlist highlights strategies for integrating anti-racist principles into epidemiologic studies and advancing equity in health outcomes.
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Sandra Albrecht examines immigrant health through an epidemiologic lens, addressing challenges, disparities, and social determinants that shape outcomes. This playlist highlights research approaches and strategies to improve health equity among immigrant populations.
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Joanna Maselko and Jennifer Woo highlight the most cited articles from the American Journal of Epidemiology. This playlist showcases influential research shaping the field, offering readers a curated look at key studies driving epidemiologic insights and innovation.
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Ellen Caniglia (NYU), Lorraine Dean (JHU), and William Goedel (Brown University) present conceptual papers addressing race, socioeconomic status or position, and sexual and gender minority health. This playlist explores frameworks for understanding health disparities and advancing equity in epidemiologic research.
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Catherine Lesko and Kara Rudolph discuss generalizability and transportability in epidemiologic research. This playlist explains how findings from one population can be applied to another, outlining key concepts and methods to strengthen external validity in studies.
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Noel Weiss explores how non-randomized studies can be used to evaluate the efficacy of cancer screening programs. This playlist discusses methodological challenges, potential biases, and strategies for improving validity in observational research.
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Tarik Benmarhnia examines the intersection of climate change and epidemiology, highlighting how environmental shifts influence health outcomes. This playlist explores methods for studying climate-related risks and strategies to inform public health interventions.
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Matthew Fox discusses the epidemiologic challenges and insights surrounding COVID-19 and SARS-CoV-2. This playlist explores key considerations for understanding transmission, study design, and public health responses during the pandemic.
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Kara Rudolph and Ellie Matthay examine the public health dimensions of gun violence, exploring its causes, consequences, and prevention strategies. Their insights highlight the role of epidemiology in addressing this urgent societal issue through data-driven solutions.
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Jay Kaufman and Stephanie London explore genetic epidemiology in the causal era, examining how genes influence population health and the methods used to establish causality. This article highlights key challenges and approaches for integrating genetics into epidemiologic research.
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Anne Marie Jukic and Allen Wilcox present four classic papers in reproductive epidemiology. This article highlights foundational research that shaped understanding of fertility, pregnancy outcomes, and methodological approaches in the field.
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Pam Factor Litvak explores life course epidemiology, emphasizing how exposures across different stages of life influence health outcomes. This article reviews key concepts, study designs, and analytic approaches for understanding long-term health trajectories.
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David Savitz examines epidemiologic studies on the health effects of electromagnetic fields. This article reviews evidence, methodological challenges, and research strategies for understanding potential risks associated with EMF exposure.
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Shuji Ogino introduces molecular pathological epidemiology, an emerging field that integrates molecular biology with population-based research. This article explains how linking pathology and epidemiology can uncover disease mechanisms and improve precision medicine strategies.
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Jennifer Weuve of Rush University Medical Center explores tools and insights for studying cognitive aging and dementia. This article reviews epidemiologic approaches, measurement challenges, and strategies to advance research on brain health in aging populations.
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