Mireille Schnitzer, PhD
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RESOURCES

What is causal inference?

Estimating marginal versus conditional parameters in causal inference


Colliders in Epidemiology: an educational interactive web application by Luque-Fernandez et al (2018)

​​Implementation of a Simulation Study in R | Markdown file

For Graduate Students

Guidelines and information for new graduate students
​

Guidelines for publishing and presenting data

Media

Presentation for the Online Causal Inference Seminars
May 23, 2022
Estimation of COVID-19 vaccine effectiveness under the test-negative design

Presentation for the Targeted Learning Seminar Series

July 22, 2020
The causal inference of longitudinal exposures with marginal structural models: an overview and application of longitudinal TMLE
See slides and full seminar series here.

Presentation for the Canadian Network for Drug Effect Studies (full video and slides)
Nov 25, 2015 in Montréal
Targeted Learning for the Estimation of Drug Safety and Effectiveness: Getting Better Answers by Asking Better Questions

R software Functions:

Test-negative design simulation study for vaccine effectiveness (github)
August 2021

Estimation of gestational age-specific exposure effects during pregnancy (github)
July 2021

Collaborative Longitudinal Targeted Maximum Likelihood Estimation
September 2018

CTMLE with penalized estimation of the propensity score
​July 2017

Doubly robust estimation of marginal models
April 2015

Collaborative Targeted Maximum Likelihood Estimation (author: Susan Gruber)
Posted May 2015

External resources

Biostat @ UdeM (fr | en)

Axe de recherche Médicament et santé des populations 

Avoiding Predatory Journals and Questionable Conferences: A Resource Guide
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by Dr. Sarah Elaine Eaton, University of Calgary

Overview of Statistics as a Scientific Discipline and Practical Implications for the Evaluation of Faculty Excellence​
​
by The American Statistical Association
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