Zobrazeno 1 - 10
of 19 399
pro vyhledávání: '"Charles, K."'
Autor:
Ferreira, Simon, Assaad, Charles K.
Understanding causal relations in dynamic systems is essential in epidemiology. While causal inference methods have been extensively studied, they often rely on fully specified causal graphs, which may not always be available in complex dynamic syste
Externí odkaz:
http://arxiv.org/abs/2407.07934
Autor:
Bacon, Michael R., Cook, Charles K., Flórez, Rigoberto, Higuita, Robinson A., Ramírez, José L.
Inspired by the ancient spiral constructed by the greek philosopher Theodorus which is based on concatenated right triangles, we have created a spiral. In this spiral, called \emph{Fibonacci--Theodorus}, the sides of the triangles have lengths corres
Externí odkaz:
http://arxiv.org/abs/2407.07109
Autor:
Assaad, Charles K.
Conducting experiments to estimate total effects can be challenging due to cost, ethical concerns, or practical limitations. As an alternative, researchers often rely on causal graphs to determine if it is possible to identify these effects from obse
Externí odkaz:
http://arxiv.org/abs/2406.05805
Autor:
Alam, Nameyeh, Basilico, Jake, Bertolini, Daniele, Chetty, Satish Casie, D'Angelo, Heather, Douglas, Ryan, Fisher, Charles K., Fuller, Franklin, Gomes, Melissa, Gupta, Rishabh, Lang, Alex, Loukianov, Anton, Mak-McCully, Rachel, Murray, Cary, Pham, Hanalei, Qiao, Susanna, Ryapolova-Webb, Elena, Smith, Aaron, Theoharatos, Dimitri, Tolwani, Anil, Tramel, Eric W., Vidovszky, Anna, Viduya, Judy, Walsh, Jonathan R.
A patient's digital twin is a computational model that describes the evolution of their health over time. Digital twins have the potential to revolutionize medicine by enabling individual-level computer simulations of human health, which can be used
Externí odkaz:
http://arxiv.org/abs/2405.01488
Randomized controlled trials (RCTs) with binary primary endpoints introduce novel challenges for inferring the causal effects of treatments. The most significant challenge is non-collapsibility, in which the conditional odds ratio estimand under cova
Externí odkaz:
http://arxiv.org/abs/2402.18900
This paper introduces a new structural causal model tailored for representing threshold-based IT systems and presents a new algorithm designed to rapidly detect root causes of anomalies in such systems. When root causes are not causally related, the
Externí odkaz:
http://arxiv.org/abs/2402.06500
One of the major benefits of quantum computing is the potential to resolve complex computational problems faster than can be done by classical methods. There are many prototype-based clustering methods in use today, and selection of the starting node
Externí odkaz:
http://arxiv.org/abs/2401.11258
Effective and rapid decision-making from randomized controlled trials (RCTs) requires unbiased and precise treatment effect inferences. Two strategies to address this requirement are to adjust for covariates that are highly correlated with the outcom
Externí odkaz:
http://arxiv.org/abs/2310.18027
We study the problem of identifiability of the total effect of an intervention from observational time series in the situation, common in practice, where one only has access to abstractions of the true causal graph. We consider here two abstractions:
Externí odkaz:
http://arxiv.org/abs/2310.14691
Autor:
Vanderbeek, Alyssa M., Vidovszky, Anna A., Ross, Jessica L., Sabbaghi, Arman, Walsh, Jonathan R., Fisher, Charles K., Disease, the Critical Path for Alzheimer's, Initiative, the Alzheimer's Disease Neuroimaging, Disease, the European Prevention of Alzheimer's, Consortium, Study, the Alzheimer's Disease Cooperative
A crucial task for a randomized controlled trial (RCT) is to specify a statistical method that can yield an efficient estimator and powerful test for the treatment effect. A novel and effective strategy to obtain efficient and powerful treatment effe
Externí odkaz:
http://arxiv.org/abs/2309.14256