Denis Talbot

Text in French with a flag of Université Laval in the background: Distinction. Tableau d'honneur de la Faculté des études supérieures et postdoctorales. Nyamador Komla David Adenyo. Doctorat en biostatistique. Université Laval.

Very proud of trainee David Adenyo who is on the honor roll of Université Laval for the excellence of his PhD dissertation. His first paper is published here: doi.org/10.1002/sim..... A preprint of his second paper is here: arxiv.org/abs/2410.01000 - which we will update soon with new results!

Epi is doing a data analysis, writing a paper in a week and then defending to a committee. Biostat is part stat in-class exam and part data analysis + report, then defending.

At ULaval, Epi and biostat students have a comprehensive exam at the end of their first year of PhD, then a protocol defence usually during the second year. They have to write a protocol in a format that closely resembles a grant proposal (CIHR or NSERC), evaluated by a committee and then presented.

There is a special sense of satisfaction that comes with finally solving a challenging mathematical problem, which is the reason why I want to do more theoretical research in the coming years.

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The person taking the picture is sitting outside on a patio. This person has a laptop opened in front of him and a german shepherd dog is walking toward him.

Why I like working from home.

HIRING! We offer 3 fully funded PhD positions to work on research… | Maarten van Smeden HIRING! We offer 3 fully funded PhD positions to work on research methodology with experts in a great medical research environment. Interested in one of these projects? Send us your motivational let...

HIRING!

We offer 3 fully funded PhD positions to work on research methodology with experts in a great medical research environment.

More info: www.linkedin.com/feed/update/...

Our #CRT program provides up to $210,000 over 3 yrs for projects centred in #statisticalsciences that span geography, disciplines & institutions to tackle problems in science, engineering, health & society.

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Guidelines and Best Practices for the Use of Targeted Maximum Likelihood and Machine Learning When Estimating Causal Effects of Exposures on Time‐To‐Event Outcomes Targeted maximum likelihood estimation (TMLE) is an increasingly popular framework for the estimation of causal effects. It requires modeling both the exposure and outcome but is doubly robust in the...

Our tutorial on the use of targeted maximum likelihood with machine learning for estimating causal effects with time-to-event outcomes is now published: dx.doi.org/10.1002/sim....

Code is available on Github (github.com/detal9/SurvT...)

#CausalSky #EpiSky #StatSky

Our article about developing a double machine learning estimator for vaccine effectiveness under a test-negative design is now published in Statistics in Medicine 👉 doi.org/10.1002/sim.... 👈 #CausalSky #StatSky #EpiSky

2025 CSEB Conference: Call for Abstracts Now Open!

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Let us start 2025 in a positive mood: here are 10 methods things researchers can worry *less* about in 2025

@wenbowu.bsky.social and I are looking for a postdoc! please reach out if you are interested.