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.

More articles »

Recent and Upcoming Talks