Aaron Hudson (@AaronWHudson) profile picture

Aaron Hudson

@AaronWHudson

Assistant Professor of Biostatistics @fredhutch. Research in Nonparametric statistics, graphical models, and infectious disease. (he/him/his)

awhudson.github.io/
Joined November 2020
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Photo by Aaron Hudson (@AaronWHudson)
New working paper on arXiv! arxiv.org/abs/2306.07492 Here, I present a general framework for inference on statistical functionals that are defined to be non-negative, taking value equal to zero only when some null hypothesis holds, and taking positive values otherwise.
Nonparametric inference on non-negative dissimilarity measures at...

Nonparametric inference on non-negative dissimilarity measures at...

It is often of interest to assess whether a function-valued statistical parameter, such as a density function or a mean regression function, is equal to any function in a class of candidate null...

arxiv.org
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In a companion paper, also new on arXiv, we use this idea to perform causal inference in a continuous exposure setting. arxiv.org/abs/2306.07736
An Approach to Nonparametric Inference on the Causal Dose Response Function

An Approach to Nonparametric Inference on the Causal Dose Response Function

The causal dose response curve is commonly selected as the statistical parameter of interest in studies where the goal is to understand the effect of a continuous exposure on an outcome.Most of...

arxiv.org
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I've been excited about this work for a while, and I'm very excited to share! Feedback is welcome & encouraged!
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Aaron Hudson retweeted
Betz Halloran (@betzhallo) profile picture
Betz Halloran@betzhallo12 Nov 2022
Great news! The 15th Summer Institute for Statistics and Modeling in Infectious Diseases #SISMID @UWBiostat will be in person again July 10 - 26, 2023, in Seattle at UW. Schedule will soon be posted! (Tweet before everyone leaves for Mastodon)
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We are excited to announce that applications are open for the second annual Blackwell Summer Scholars program! Students from around the country are invited to submit their application for this 6-week research workshop event. Click the link for more info: stat.illinois.edu/alumni/dav…
Image from Illinois Statistics (@IllinoisStat)
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As Latinx in Stat, I want to focus today on Latinx visibility and amplifying Latinx voices. Excited to introduce #LatinxInStat #LatinxInDataSci 🎉🎉🎉 Please introduce yourself 👋 and tag others. Feel free to reply in any language. I'll start 👇
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Congrats to @AaronWHudson on a masterful PhD defense! 🎉 You make us all so proud, Dr. Hudson.
Image from Marco Carone (@mcaronebstat)
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Congratulations to Subodh Rajesh Selukar from @UWBiostat for winning the 2021 Student Paper Award of @SCTorg.
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Check out our new pre-print available on ArXiv! In joint work with Ali Shojaie and @mcaronebstat , we introduce a new framework for inference on function-valued parameters in non- & semi-parametric models. Link: arxiv.org/abs/2105.06646 Summary of main points 👇🏾 1/11
Inference on function-valued parameters using a restricted score test

Inference on function-valued parameters using a restricted score test

It is often of interest to make inference on an unknown function that is a local parameter of the data-generating mechanism, such as a density or regression function. Such estimands can typically...

arxiv.org
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Our strategy is broadly applicable and can be used to perform inference for, e.g., nonparametric regression functions, causal dose-response curves, conditional avg treatment effects, and more 10/11
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I’ve had a lot of fun working on this paper, and I've been learning a ton in the process. I hope many of you enjoy reading. Feel free to get in touch if you have questions or other feedback. 11/11
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