Louisa H. Smith
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Talks

Target trial emulation in pregnancy research

Guest lecture at Boston University

Oct 2025

Workshop on perinatal causal inference

Workshop in Oslo, Norway

Sep 2025

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

Nov 2024

Second-guessing selection bias

SER 2024

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

Jun 2024

Evaluating missingness assumptions for items in a frailty index

SER 2023

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

Jun 2023

Reproducible Epidemiology in R

SER 2023

SER pre-conference workshop

Jun 2023

Introduction to {targets}

Maine R User Group

Overview of the targets package for reproducible data analysis.

May 2023

Study design and analysis for time-dependent exposures during pregnancy

SPER 2022

SPER Advanced Methods Workshop, with Chelsea Messinger

Jun 2022

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.

Sep 2021

Multiple-Bias Sensitivity Analysis Using Bounds

JSM 2021

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

Aug 2021

Challenges in estimating effects of COVID-19 on preterm birth

SER 2021

Avoiding various biases when studying COVID-19 and preterm birth, presented in the infectious diseases session at SER 2021.

Jun 2021

COVID-19 and preterm birth: Understanding the relationship

SPER 2021

Speed presentation on the timing- and severity-specific effects of COVID-19 on preterm birth.

Jun 2021

E-values, unmeasured confounding, measurement error, and selection bias

SER 2021

Pre-conference workshop with Maya Mathur.

May 2021

Bias bounds and target trials for causal inference in observational data

My dissertation defense!

May 2021

Simple sensitivity analysis for selection bias using bounds

CMStatistics 2020

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

Dec 2020

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.

Aug 2020

Data gets personal

RLadies Boston

A data science/human interest story first shared at RLadies Boston.

Jan 2020

Directed Acyclic Graphs: An introduction

Kolokotrones Symposium, Harvard TH Chan School of Public Health

The basics of DAGs.

Dec 2018
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