1 citations · 1 across the 3 of their papers we have counts for
5 papers
On Local Inference for Functionals of Ill-Posed Inverse Problems
Ellen Graham, Andrea Rotnitzky
We study inference for continuous linear functionals of solutions to ill-posed inverse problems, including Euclidean parameters arising in nonparametric instrumental variables, pro…
Proximal Causal Inference for Modified Treatment Policies
Antonio Olivas-Martinez, Peter B. Gilbert, Andrea Rotnitzky
The proximal causal inference framework enables the identification and estimation of causal effects in the presence of unmeasured confounding by leveraging two disjoint sets of obs…
Source-Condition Analysis of Kernel Adversarial Estimators
Antonio Olivas-Martinez, Andrea Rotnitzky
In many applications, the target parameter depends on a nuisance function defined by a conditional moment restriction, whose estimation often leads to an ill-posed inverse problem.…
Towards a Unified Theory for Semiparametric Data Fusion with Individual-Level Data
Ellen Graham, Marco Carone, Andrea Rotnitzky
We address the goal of conducting inference about a smooth finite-dimensional parameter by utilizing individual-level data from various independent sources. Recent advancements hav…
Investigating symptom duration using current status data: a case study of post-acute COVID-19 syndrome
Charles J. Wolock, Susan Jacob, Julia C. Bennett +9
For infectious diseases, characterizing symptom duration is of clinical and public health importance. Symptom duration may be assessed by surveying infected individuals and queryin…