Zobrazeno 1 - 10
of 266
pro vyhledávání: '"Agniel, Denis"'
Autor:
Antonelli, Joseph, Rubinstein, Max, Agniel, Denis, Smart, Rosanna, Stuart, Elizabeth, Cefalu, Matthew, Schell, Terry, Eagan, Joshua, Stone, Elizabeth, Griswold, Max, Sorbero, Mark, Griffin, Beth Ann
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 treatment adoption. Specifically, we seek to estimate of the impact of
Externí odkaz:
http://arxiv.org/abs/2408.09012
Post-clustering inference in scRNA-seq analysis presents significant challenges in controlling Type I error during Differential Expression Analysis. Data fission, a promising approach, aims to split the data into two new independent parts, but relies
Externí odkaz:
http://arxiv.org/abs/2405.13591
Autor:
Agniel, Denis, Parast, Layla
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 measurement but is instead a longitudinal trajectory of measurements over time,
Externí odkaz:
http://arxiv.org/abs/2402.16969
Autor:
Wastvedt, Solvejg, Snoke, Joshua, Agniel, Denis, Lai, Julie, Elliott, Marc N., Martino, Steven C.
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 and quality of health care. Further complicating the problem, clinical
Externí odkaz:
http://arxiv.org/abs/2402.13391
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 approaches in these settings: ignorability estimators (e.g., synthetic
Externí odkaz:
http://arxiv.org/abs/2312.05400
Autor:
Agniel, Denis1, Normand, Sharon-Lise T.2, Newcomer, John W.3, Zelevinsky, Katya4, Poulos, Jason2, Tsuei, Jeannette5, Horvitz-Lennon, Marcela6 mhorvitz@rand.org
Publikováno v:
BJPsych Open. Sep2024, Vol. 10 Issue 5, p1-9. 9p.
Clustering is part of unsupervised analysis methods that consist in grouping samples into homogeneous and separate subgroups of observations also called clusters. To interpret the clusters, statistical hypothesis testing is often used to infer the va
Externí odkaz:
http://arxiv.org/abs/2210.13172
Publikováno v:
In Computational Statistics and Data Analysis May 2024 193
Publikováno v:
Biostatistics-2022
When evaluating the effectiveness of a treatment, policy, or intervention, the desired measure of effectiveness may be expensive to collect, not routinely available, or may take a long time to occur. In these cases, it is sometimes possible to identi
Externí odkaz:
http://arxiv.org/abs/2012.01236
Autor:
Agniel, Denis, Cantor, Jonathan, Golan, Olivia K., Yu, Hao, Andraka-Christou, Barbara, Simon, Kosali I., Stein, Bradley D., Taylor, Erin A.
Publikováno v:
In Drug and Alcohol Dependence 1 November 2023 252