Recent and Upcoming Talks
Challenges in estimating effects of COVID-19 on preterm birth
Avoiding various biases when studying COVID-19 and preterm birth, presented in the infectious diseases session at SER 2021.
COVID-19 and preterm birth: Understanding the relationship
Speed presentation on the timing- and severity-specific effects of COVID-19 on preterm birth.
E-values, unmeasured confounding, measurement error, and selection bias
SER 2021 workshop with Maya Mathur.
Bias bounds and target trials for causal inference in observational data
My dissertation defense!
Simple sensitivity analysis for selection bias using bounds
Extending a sensitivity analysis approach for unmeasured confounding to selection bias.
The Magic of R
A guest lecture to convince new learners of R just how cool it is.
Data gets personal
A data science/human interest story first shared at RLadies Boston.
Directed Acyclic Graphs: An introduction
The basics of DAGs.