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.
Playlist
Alison El Ayadi and Lauren Houghton's Mixed Methods Playlist introduces readers to integrated qualitative and quantitative approaches, offering a clear entry point into how mixed methods can deepen understanding in epidemiologic and public health research.
Playlist
This playlist, “Methods for Policy Evaluation,” brings together key scholarly articles curated by Rita Hamad and Audrey Renson, the authors listed on the source page. It highlights methodological tools and frameworks used to assess policy impacts, offering readers a concise gateway into current approaches in epidemiologic and policy evaluation research.
Playlist
Incomplete data are common in epidemiological studies, and complete records analysis (CRA)—the default in most software—can lead to inefficiency and bias. The extent and direction of this bias depend on the analysis model and the mechanism of missingness (MCAR, MAR, or MNAR). Principled methods such as multiple imputation, inverse probability weighting, and maximum likelihood can improve accuracy. This playlist, by Rachael Ross (Columbia University) and Kate Tilling (University of Bristol), highlights key papers explaining missing data concepts and analytic approaches to address them.
Playlist
Nima Hejazi and Ashley Naimi present advanced perspectives on causal mediation analysis in this special “B-Sides” playlist. Explore nuanced methods and applications that go beyond the basics, offering deeper insight into mediation techniques for epidemiologic research.
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.
Playlist
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.
Playlist
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.
Playlist
Paul Zivich introduces M-estimation, a flexible approach for estimating causal effects in epidemiologic research. This playlist explains how M-estimators work, their advantages over traditional methods, and their role in improving accuracy and robustness in complex analyses.
Playlist
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.
Playlist
Tarik Benmarhnia explains quasi-experimental methods that leverage the timing of interventions to estimate causal effects. This playlist highlights how these approaches can strengthen epidemiologic research by addressing confounding and improving validity in real-world settings.
Playlist
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.
Playlist
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.
Playlist
Rae Anne Martinez, Charlie Rioux, Noah Haber, and Nafeesa Andrabi discuss the importance of methodological rigor, clear scientific communication, and equity in epidemiologic research. This playlist explores strategies to strengthen study design, improve transparency, and promote fairness in public health.
Playlist
Lisa Bodnar provides practical guidance on writing successful NIH grant applications. This playlist covers strategies for crafting strong proposals, addressing common challenges, and improving your chances of securing research funding.
Playlist
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.
Playlist
Dr. John W. Jackson and Dr. Jaime Slaughter-Acey discuss intersectionality in epidemiology, emphasizing how overlapping social identities and structural factors shape health outcomes. This playlist explores frameworks for analyzing complex inequities and advancing equity-focused research.
Playlist
Jonathan Huang and Brian Whitcomb explore the complexities of causal inference in molecular epidemiology. This playlist highlights key challenges, such as confounding and measurement error, and discusses opportunities for leveraging advanced methods to improve study validity and interpretation.
Playlist
Jeremy Labrecque explains Mendelian randomization as a method for strengthening causal inference in epidemiology. This playlist explores how genetic variants serve as instrumental variables to reduce confounding and improve the validity of observational research.
Playlist
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.
Playlist
Brandon Marshall, Priyanka Vakkalanka, and Kara Rudolph examine the epidemiology of overdose, focusing on patterns, risk factors, and prevention strategies. This playlist highlights research approaches that inform public health interventions and address the growing overdose crisis.
Playlist
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.
Playlist
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.
Playlist
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.
Playlist
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.