Zobrazeno 1 - 10
of 660
pro vyhledávání: '"A. Agniel"'
In experimental and observational data settings, researchers often have limited knowledge of the reasons for censored or missing outcomes. To address this uncertainty, we propose bounds on causal effects for censored outcomes, accommodating the scena
Externí odkaz:
http://arxiv.org/abs/2411.16902
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
Publikováno v:
Genome Biology, Vol 25, Iss 1, Pp 1-5 (2024)
Abstract A recent study reported exaggerated false positives by popular differential expression methods when analyzing large population samples. We reproduce the differential expression analysis simulation results and identify a caveat in the data ge
Externí odkaz:
https://doaj.org/article/e89c8591e60d4256ad344552e73b1633
Autor:
Lucile Rabiet, Nathan Jeger-Madiot, Duván Rojas García, Lucie Tosca, Gérard Tachdjian, Sabrina Kellouche, Rémy Agniel, Jérôme Larghero, Jean-Luc Aider, Lousineh Arakelian
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Hepatic spheroids are of high interest in basic research, drug discovery and cell therapy. Existing methods for spheroid culture present advantages and drawbacks. An alternative technology is explored: the hepatic spheroid formation and cult
Externí odkaz:
https://doaj.org/article/45ea24a9efa6498ebdb4b6bdd91312a3
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
Autor:
Mathilde Recipon, Rémy Agniel, Philippe Kunemann, Arnaud Ponche, Franck Carreiras, Francis Hermitte, Johanne Leroy-Dudal, Sylvain Hubac, Olivier Gallet, Sabrina Kellouche
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Touch DNA, which can be found at crime scenes, consists of invisible biological traces deposited through a person’s skin’s contact with an object or another person. Many factors influence touch DNA transfer, including the “destination
Externí odkaz:
https://doaj.org/article/4b712945ca9540238d5ca893ca7fce16