David Stephens

Professor

McGill University

Canada

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David Stephens is a Professor at McGill University in Canada. His research primarily focuses on Bayesian methods applied to epidemiology, critical care data, and cancer epigenetics. Recent work includes developing models for COVID-19 infection estimation and differential methylation in cancer, as well as advancing causal inference techniques. He is also involved in projects related to host-parasite networks and dynamic treatment regimes.

Articles (10)

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2022

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2022

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2021

Collaborators (6)

Erica EM Moodie

Professor

McGill University

CANADA

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Celia Greenwood

McGill University

CANADA

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Maxwell Farrell

University of Glasgow

UNITED KINGDOM

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Yu Luo

King’s College London

UNITED KINGDOM

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Alexandra M. Schmidt

Professor

McGill University

CANADA

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Farhad Shokoohi

Assistant Professor of Statistics

University of Nevada

UNITED STATES

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David Stephens

Research Interests

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Contact this professor

About

Articles (10)

Identifying Differential Methylation in Cancer Epigenetics via a Bayesian Functional Regression Model

A Bayesian non‐stationary heteroskedastic time series model for multivariate critical care data

An SIR‐based Bayesian framework for COVID‐19 infection estimation

Bayesian clustering for continuous‐time hidden Markov models

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

Bayesian sample size calculations for comparing two strategies in SMART studies

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

Predicting missing links in global host–parasite networks

Causal inference: Critical developments, past and future

The Role of Phylogenetics in Unravelling Patterns of HIV Transmission towards Epidemic Control: The Quebec Experience (2002–2020)

Collaborators (6)

Erica EM Moodie

Celia Greenwood

Maxwell Farrell

Yu Luo

Alexandra M. Schmidt

Farhad Shokoohi

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