Erica EM Moodie

Professor

McGill University

Canada

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Research Interests

Biostatistics

100%

Epidemiology

30%

Case-control Study

50%

Statistical Inference

40%

Causal Inference

40%

Cohort Study

40%

Pharmacoepidemiology

30%

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Articles20

Sparse 2-stage Bayesian meta-analysis for individualized treatments

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Year:

2025

Translating Evidence‐Based Self‐Management Interventions Using a Stepped‐Care Approach for Patients With Cancer and Their Caregivers: A Pilot Sequential Multiple Assignment Randomized Trial Design

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Year:

2025

Breast milk bisphenol concentrations in Canada and South Africa and associations with body size among South African infants

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Year:

2025

A Framework for Generating Realistic Synthetic Tabular Data in a Randomized Controlled Trial Setting

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2025

SMART Designs: Bridging the Gap Between Clinical Trials and Practice in Infectious Diseases

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Year:

2025

A Simple Diagnostic for the Positivity Assumption for Continuous Exposures

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Year:

2025

Natural Effects in the Presence of an Intermediate Confounder: Evaluation of Pragmatic Estimation Strategies With an Emphasis on the Relationship Between Natural and Interventional Effects

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2025

Effect of depressive symptoms on health services utilization in the HIV and hepatitis C co-infected population in Canada

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Year:

2025

Commentary: Mendelian randomization for causal inference

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Year:

2024

A retrospective and prospective study of biostatistics in Canada

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Year:

2024

Double robust estimation of optimal partially adaptive treatment strategies: An application to breast cancer treatment using hormonal therapy

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Year:

2023

The impact of directly observed therapy on the efficacy of Tuberculosis treatment: a Bayesian multilevel approach

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2023

A time‐dependent Poisson‐Gamma model for recruitment forecasting in multicenter studies

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2023

Dynamic Treatment Regimes Using Bayesian Additive Regression Trees for Censored Outcomes

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2023

Bayesian sample size calculations for comparing two strategies in SMART studies

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2023

Variable selection in high dimensions for discrete-outcome individualized treatment rules: Reducing severity of depression symptoms

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Year:

2023

Causal Inference and Confounding: A Primer for Interpreting and Conducting Infectious Disease Research

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Year:

2023

Semiparametric Bayesian inference for optimal dynamic treatment regimes via dynamic marginal structural models

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Year:

2023

Monte Carlo sensitivity analysis for unmeasured confounding in dynamic treatment regimes

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Year:

2023

Variable selection in regression‐based estimation of dynamic treatment regimes

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Year:

2023

Collaborators10

Denis Talbot

Full professor

Laval University

CANADA

Andréa Maria Laizner

Assistant Professor (part-time)

McGill University

CANADA

Shirin Golchi

Associate professor

McGill University

CANADA

Saskia Le Cessie

Leiden University

NETHERLANDS

David Stephens

Professor

McGill University

CANADA

Sahir Bhatnagar

Assistant Professor

McGill University

CANADA

Sylvie Lambert

Associate Professor

McGill University

CANADA

Alexandra M. Schmidt

Professor

McGill University

CANADA

Junwei Shen

Lunenfeld-Tanenbaum Research Institute

CANADA

Sydney Wasserman

Teaching Assistant - Critical Care

McGill University

CANADA

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