Webinar featuring a dynamic plenary between two leading epidemiologists. The fall event features live oral presentations selected from submitted abstracts. Participants are encouraged to participate individually or organize a viewing party at their institution.
"Missing Data in Epidemiologic Research: Contemporary Approaches for Enduring Problems" March 8, 2023, 12:00pm -2:00pm EST
Handling missing data is a common challenge in epidemiology that can affect the validity of research findings. Epidemiologists are trained in various methods for addressing missing data, such as multiple imputation and inverse probability weighting. However, as statistical and epidemiological techniques continue to evolve, it is important to also consider newer and cutting-edge methods for addressing this persistent problem. During this session, we will explore new methods and current considerations for dealing with missing data. The session will provide an opportunity to understand the benefits and drawbacks of different strategies and help you decide which methods are best suited for your research.
For some individuals, the condition is debilitating. Individuals commonly suffer from symptoms such as extreme fatigue, brain fog, cardiac issues, and poor mental health, among other concerns. Both adults and children are affected. What makes long COVID especially challenging is that there is no well-established definition for clinicians and researchers to use, and there is no diagnostic test for the condition.
In the proposed symposium, “What is long COVID”, expert presenters will explore the challenge of varying long COVID definitions; the NIH long COVID RECOVER study; use of electronic health record data to study the condition; and how those diagnosed with long COVID compare with those experiencing another chronic fatigue condition, Myalgic encephalomyelitis (ME), formerly known as chronic fatigue syndrome. One speaker will also delve into clinically caring for long COVID pediatric patients, with the final presenter addressing the opportunities and difficulties of communication around COVID-19 and the long COVID condition. The goal is that those in attendance at the symposium will learn more about long COVID and understand some of the current research, clinical efforts, and challenges occurring.
Charlie Rioux PHD (She/Her)
Assistant professor, Department of Psychology, University of Oklahoma
Neil J. Perkins, PHD (He/Him)
Acting Branch Chief and Staff Scientist, Biostatistics and Bioinformatics Branch, Division of Intramural Population Health Research
November 9, 2022
12PM – 2PM EDT
“The Promise and Perils of Machine Learning Approaches in Epidemiologic Research”
Machine Learning (ML) is a rapidly growing subfield of artificial intelligence with an already extensive application in health and healthcare research. However, ML is not widely adapted in epidemiologic research, partly owing to its low emphasis on traditional epidemiologic thinking built on causal inference. Yet, ML has potential advantages that could tackle common issues in epidemiologic research, such as measurement error and missing data. The session will focus on the promise and perils of ML in epidemiology and advancements in the field over the past few years and how we can best adapt and harmonize ML approaches in epidemiologic research.
Jean Feng, PhD
Assistant Professor of Epidemiology and Biostatistics
University of California, San Francisco
Lecturer in Biostatistics, Centre for Biostatistics, University of Manchester
March 16, 2022
12PM – 2PM EDT
“Health disparities research in epidemiology: present and future directions “
Partly inspired by the ongoing COVID-19 pandemic and racial justice movements, the past few years have seen health disparities research come to the forefront of public health research like never before. Likewise, current epidemiologic research is ever-increasingly geared towards disparities research across various research areas. In this panel, we will discuss current trends and shortcomings of health disparities, the future of health disparities research, and how early career epidemiologists can model responsible engagement in health disparities research.
Ana Diez Roux, MD, PhD, MPH
Dana and David Dornsife Dean and Distinguish Professor of Epidemiology
Drexel University School of Public Health
Mya L. Roberson, MSPH, PhD
Assistant Professor, Department of Health Policy, Vanderbilt University
School of Medicine
November 10, 2021
12PM – 2PM EDT
“Infodemic Inoculation – Lessons Learned and Future Directions”
As online news and social media sites flood us with content, epidemiologists must become effective scientific communicators. The current “infodemic”, brought on by the increasing availability of misleading information related to COVID-19, reflects the public health importance of vetting news for accuracy. Many health experts have already made use of online platforms to combat the viral spread of misinformation. Panelists will present their success stories in countering current and future infodemics.
Thu T. Nguyen, ScD, MSPH (she/hers/her)
Department of Epidemiology and Biostatistics
Maryland School of Public Health
Sandra Albrecht, PhD, MPH (she/her/hers)
Department of Epidemiology
Mailman School of Public Health at Columbia University
Live Student Presentations
“Associations among historical neighborhood disinvestment, hazardous air pollution, and current adult asthma prevalence”
“Trends in Racial and Ethnic Disparities in Adult Mental Health Treatment: Results from the 2005-2019 National Survey on Drug Use and Health”
“Assessing the potential for differential disease misclassification in survival analysis: Applying probabilistic bias analysis”