Daniel Nevo
@danielnevo.bsky.social
Associate Prof. Tel Aviv University, Stat & OR Department. (Bio)statistics, causal inference, etc.
Reposted by Daniel Nevo
Bar Weinstein, Daniel Nevo: Bayesian Estimation of Causal Effects Using Proxies of a Latent Interference Network https://arxiv.org/abs/2505.08395 https://arxiv.org/pdf/2505.08395 https://arxiv.org/html/2505.08395
May 14, 2025 at 6:19 AM
Bar Weinstein, Daniel Nevo: Bayesian Estimation of Causal Effects Using Proxies of a Latent Interference Network https://arxiv.org/abs/2505.08395 https://arxiv.org/pdf/2505.08395 https://arxiv.org/html/2505.08395
New paper, led by Yaki Saciuk, out in @naturecomms.bsky.social
It's challenging to estimate the causal effect of antibiotic use on future resistance due to unmeasured confounding.
We leverage a new form of iv - reported allergy to penicillin.
📄: www.nature.com/articles/s41...
It's challenging to estimate the causal effect of antibiotic use on future resistance due to unmeasured confounding.
We leverage a new form of iv - reported allergy to penicillin.
📄: www.nature.com/articles/s41...
January 31, 2025 at 9:27 AM
New paper, led by Yaki Saciuk, out in @naturecomms.bsky.social
It's challenging to estimate the causal effect of antibiotic use on future resistance due to unmeasured confounding.
We leverage a new form of iv - reported allergy to penicillin.
📄: www.nature.com/articles/s41...
It's challenging to estimate the causal effect of antibiotic use on future resistance due to unmeasured confounding.
We leverage a new form of iv - reported allergy to penicillin.
📄: www.nature.com/articles/s41...