Season 1, Episode 4: Design Principles For Data Analysis w/ 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

Casual Inference Podcast: http://alturl.com/zuore
Design Principles for Data Analysis: http://alturl.com/7hvfz
Dr. D’Agostino Post on Causal Inference: http://alturl.com/tcn2w
Introduction to DAGs: http://alturl.com/a75k6
Negative Controls: A Tool for Detecting Confounding and Bias in Observational Studies: http://alturl.com/cjqf6
Triangulation in Epidemiology: http://alturl.com/if9cs

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