Season 1, Episode 4: Design Principles For Data Analysis with Dr. Lucy D’Agostino McGowan
Welcome to Episode 4 of Season 1 of the Emerging Scholar Podcast!
On this episode, we take a deep dive into practical lessons for data
management with Dr. Lucy D’Agostino McGowan, an assistant professor in the
Department of Statistical Sciences at Wake Forest University. Dr. D’Agostino
McGowan is also the co-host of the insightful podcast Casual Inference,
alongside Dr. Ellie Murray.
Today, we dive into her 2023 paper, Design Principles for Data Analysis, which offers invaluable guidance for young scholars beginning their research
journeys. Whether you’re embarking on your first analysis or refining your
approach, this paper serves as an essential resource for understanding the
crucial steps in designing and managing your data before even consulting with a
statistician.
Our conversation centres around the principles outlined in Dr. D’Agostino
McGowan's work, with a focus on helping early-stage researchers like you
navigate the often complex world of data management prior to initiating data
analyses. If you’ve ever wondered how to approach your data sets with
confidence, this episode is for you!
Enjoy this insightful discussion that will empower you and your students to
approach data with clarity and precision as you tackle your next big project!
Papers & Resources That We Touched On In This Episode:
- Dr. D’Agostino’s Podcast with Dr. Ellie Murray - Casual Inference
- Design Principles for Data Analysis
- Dr. D’Agostino Post on Causal Inference
- Introduction to DAGs
- Negative Controls: A Tool for Detecting Confounding and Bias in Observational Studies
- Triangulation in Epidemiology
Guests
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Dr. Lucy D’Agostino McGowan
Lucy D’Agostino McGowan is an assistant professor in the Department of Statistical Sciences at Wake Forest University. She received her PhD in Biostatistics from Vanderbilt University and completed her postdoctoral training at Johns Hopkins University Bloomberg School of Public Health. Her research focuses on analytic design theory, statistical communication, causal inference, and data science pedagogy. Dr. D’Agostino McGowan is the 2023 chair of the American Statistical Association’s Section on Statistical Graphics and can be found blogging at livefreeordichotomize.com, on Twitter @LucyStats, and podcasting on the American Journal of Epidemiology partner podcast, Casual Inference.