4 citations · 11 across the 11 of their papers we have counts for
13 papers
Bounding causal effects with an unknown mixture of informative and non-informative missingness
Max Rubinstein, Denis Agniel, Larry Han +2
In experimental and observational data settings, researchers often have limited knowledge of the reasons for missing outcomes. To address this uncertainty, we propose bounds on cau…
Autoregressive models for panel data causal inference with application to state-level opioid policies
Joseph Antonelli, Max Rubinstein, Denis Agniel +8
Motivated by the study of state opioid policies, we propose a novel approach that uses autoregressive models for causal effect estimation in settings with panel data and staggered…
Practical limitations for real-life application of data fission and data thinning in post-clustering differential analysis
Benjamin Hivert, Denis Agniel, Rodolphe Thiébaut +1
Post-clustering inference in single-cell RNA sequencing (scRNA-seq) analysis presents significant challenges in controlling Type I error during differential expression analysis. Da…
Robust Evaluation of Longitudinal Surrogate Markers with Censored Data
Denis Agniel, Layla Parast
The development of statistical methods to evaluate surrogate markers is an active area of research. In many clinical settings, the surrogate marker is not simply a single measureme…
De-Biasing the Bias: Methods for Improving Disparity Assessments with Noisy Group Measurements
Solvejg Wastvedt, Joshua Snoke, Denis Agniel +3
Health care decisions are increasingly informed by clinical decision support algorithms, but these algorithms may perpetuate or increase racial and ethnic disparities in access to…
Generalized difference-in-differences
Denis Agniel, Max Rubinstein, Jessie Coe +1
We propose a new method for estimating causal effects in longitudinal/panel data settings that we call generalized difference-in-differences. Our approach unifies two alternative a…