4 papers
An adaptive variance estimator for relative sparsity
Samuel Julian Weisenthal
An approach to inference for relative sparsity was developed in prior work, and an adaptive lasso asymptotic normality theorem was given there, but this theorem was not fully used…
Treatment, evidence, imitation, and chat
Samuel J. Weisenthal
Large language models are thought to have the potential to aid in medical decision making. This work investigates the degree to which this might be the case. We start with the trea…
Inference for relative sparsity
Samuel J. Weisenthal, Sally W. Thurston, Ashkan Ertefaie
In healthcare, there is much interest in estimating policies, or mappings from covariates to treatment decisions. Recently, there is also interest in constraining these estimated p…
The information mismatch, and how to fix it
Samuel J. Weisenthal, Amit K. Chowdhry
We live in unprecedented times in terms of our ability to use evidence to inform medical care. For example, we can perform data-driven post-test probability calculations. However,…