Iván Díaz (@ildiazm) 's Twitter Profile
Iván Díaz

@ildiazm

Statistician. Associate prof. at NYU Grossman Department of Population Health. Causal inference, machine learning, and semiparametric estimation.

ID: 714873918

linkhttps://idiazst.github.io/website/ calendar_today24-07-2012 20:23:30

1,1K Tweet

1,1K Followers

660 Following

Lars van der Laan (@larsvanderlaan3) 's Twitter Profile Photo

What are the differences between one-step estimation, Double ML, and Targeted ML? This commentary (Iván Díaz) and blog post (Mark van der Laan) provide an overview of the history of machine learning in semiparametrics. pubmed.ncbi.nlm.nih.gov/31742333/ vanderlaan-lab.org/2019/12/24/cv-…

Iván Díaz (@ildiazm) 's Twitter Profile Photo

I have been for a long time trying to understand Frank’s views but every day I am more baffled. If there is rarely any treatment effect heterogeneity, why the insistence on conditional treatment effects? Shouldn’t they be equal to marginal in that case?

Iván Díaz (@ildiazm) 's Twitter Profile Photo

If you are coming to #SER2024 and are interested in learning how to define and estimate causal effects for complex exposures (continuous, multivariate, ordinal, etc) in longitudinal studies using off-the-shelf software, join us in this workshop!

Joseph Bulbulia (@prof_joe_) 's Twitter Profile Photo

Sorry to miss #SER2024 but we ♥️ the lmtp package and can’t wait to see what @nickWillyamz Kara Rudolph and Iván Díaz have in the pipeline. Thank you very much & also to Kat Hoffman for the great tutorials!

Stanford AI Lab (@stanfordailab) 's Twitter Profile Photo

arXiv -> alphaXiv Students at Stanford have built alphaXiv, an open discussion forum for arXiv papers. alphaXiv You can post questions and comments directly on top of any arXiv paper by changing arXiv to alphaXiv in any URL!

Kat Hoffman (@kat_hoffman_) 's Twitter Profile Photo

A tutorial on Longitudinal Modified Treatment Policies-- a flexible method for defining, identifying, and estimating causal parameters of interest-- is now in Epidemiology! 🔗journals.lww.com/epidem/abstrac… cc🌟coauthors: .diego.O' 🕊️ @nickWillyamz Kara Rudolph Iván Díaz

Iván Díaz (@ildiazm) 's Twitter Profile Photo

Our Division is hosting its inaugural yearly Biostatistics Symposium, and this year the topic is Causal Inference! We have an exciting lineup of speakers listed below. If you are in the NYC area, please join us! Link to register in the QR below.

Our Division is hosting its inaugural yearly Biostatistics Symposium, and this year the topic is Causal Inference! We have an exciting lineup of speakers listed below. If you are in the NYC area, please join us! Link to register in the QR below.
Lars van der Laan (@larsvanderlaan3) 's Twitter Profile Photo

Excited to share that our paper "Self-Calibrating Conformal Prediction" with Ahmed Alaa is accepted at #NeurIPS2024! 🚀 We combine model calibration and prediction intervals by integrating Venn-Abers into conformal prediction. #conformal #calibration arxiv.org/abs/2402.07307