Talks

`allofus`: an R package to facilitate use of the All of Us Researcher Workbench

Presentation to various groups of All of Us Research Program stakeholders

Second-guessing selection bias

Thoughts on selection bias in the context of large-scale volunteer databases

Evaluating missingness assumptions for items in a frailty index

How much does missing survey data matter when constructing a frailty index?

Reproducible Epidemiology in R

SER pre-conference workshop

Introduction to {targets}

Maine R User Group

Overview of the targets package for reproducible data analysis.

Study design and analysis for time-dependent exposures during pregnancy

SPER Advanced Methods Workshop, with Chelsea Messinger

Causal inference in epidemiology using target trial principles: Applications in pregnancy and prostate cancer

EPFL Statistics Seminar

Target trials can help design better observational studies.

Multiple-Bias Sensitivity Analysis Using Bounds

A framework for sensitivity analysis addressing unmeasured confounding, misclassification, and selection bias.

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

Pre-conference 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

CMStatistics 2020

Extending a sensitivity analysis approach for unmeasured confounding to selection bias.

The Magic of R

Master of Food and Resource Economics Program, University of British Columbia

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

Kolokotrones Symposium, Harvard TH Chan School of Public Health

The basics of DAGs.