All SERplaylists
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.
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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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Jessica L. Rohmann introduces causal directed acyclic graphs (DAGs) as a powerful tool for clarifying assumptions and identifying bias in epidemiologic research. Learn how DAGs improve study design and interpretation by visually mapping causal relationships.
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Matthew Fox shares a curated list of podcasts that bring epidemiology to life. These audio resources offer accessible discussions on research methods, public health issues, and emerging trends, making them a valuable tool for learning and staying informed.
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The 2019 SER Diversity and Inclusion Committee highlights strategies to foster equity and representation within epidemiology. This playlist emphasizes the importance of inclusive practices in research and professional communities, aiming to strengthen collaboration and broaden perspectives in the field.
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Elizabeth Stuart explains how propensity scores can help reduce bias in observational studies by balancing covariates across treatment groups. This method improves causal inference and strengthens the validity of research findings in epidemiology.
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Magdalena Cerda and Katherine Keyes explore how agent-based modeling enhances epidemiological research by simulating complex interactions within populations. This approach provides deeper insights into disease dynamics and intervention strategies, offering a powerful tool for public health analysis.
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Explore practical strategies for improving research validation in epidemiology. Matt Fox and Lisa Bodnar share insights on reducing uncertainty and strengthening study credibility.
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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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Jessie K. Edwards and Jessica G. Young address the challenges of causal inference when competing events occur. This article explores methodological approaches to handle these complexities and offers guidance for improving validity in epidemiologic research.
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Eric Lofgren explores the promise and peril of randomness in epidemiologic research. This article discusses the role of random variation in study design and interpretation, highlighting both its benefits and potential pitfalls for scientific inference.
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Laura Balzer introduces Super Learner and practical R coding strategies for epidemiologic analysis. This article explains how ensemble machine learning can improve prediction and inference, outlines implementation steps in R, and offers tips for reproducible code, model validation, and performance assessment.
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Charles Poole of the University of North Carolina explains the fundamentals of case-control studies in epidemiology. This article reviews design principles, strengths, limitations, and practical considerations for conducting valid and efficient case-control research.
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Anusha Vable explores approaches to measuring socioeconomic status (SES) in epidemiologic research. This article reviews common indicators, methodological considerations, and the implications of SES measurement for understanding health disparities.
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Allen Wilcox reminds us that data do not speak for themselves—they require interpretation and context. This article emphasizes the importance of thoughtful analysis, clear assumptions, and critical reasoning in epidemiologic research.
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Andrew Olshan offers a “random shuffle” of thought-provoking topics in epidemiology. This article features a mix of insights and resources designed to spark discussion and deepen understanding of key concepts in population health 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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Maria Glymour introduces the concept of confounding in epidemiologic research. This article provides foundational readings on how confounding arises, its impact on study validity, and strategies for identifying and addressing it in analysis.
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Nancy Cook discusses risk prediction in epidemiology, focusing on methods to estimate individual and population-level risks. This article reviews key concepts, model development, and validation strategies for improving predictive accuracy in health research.
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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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Ashley Naimi introduces mediation analysis, a method for understanding pathways through which exposures affect outcomes. This article explains key concepts, assumptions, and approaches for applying mediation techniques in epidemiologic research.