Zobrazeno 1 - 10
of 587
pro vyhledávání: '"Dıaz, Ivan"'
Provider profiling has the goal of identifying healthcare providers with exceptional patient outcomes. When evaluating providers, adjustment is necessary to control for differences in case-mix between different providers. Direct and indirect standard
Externí odkaz:
http://arxiv.org/abs/2410.19073
Comparing outcomes across treatments is essential in medicine and public policy. To do so, researchers typically estimate a set of parameters, possibly counterfactual, with each targeting a different treatment. Treatment-specific means (TSMs) are com
Externí odkaz:
http://arxiv.org/abs/2410.13522
Marginal structural models are a popular method for estimating causal effects in the presence of time-varying exposures. In spite of their popularity, no scalable non-parametric estimator exist for marginal structural models with multi-valued and tim
Externí odkaz:
http://arxiv.org/abs/2409.18782
Causal mediation analyses investigate the mechanisms through which causes exert their effects, and are therefore central to scientific progress. The literature on the non-parametric definition and identification of mediational effects in rigourous ca
Externí odkaz:
http://arxiv.org/abs/2408.14620
Autor:
Gilbert, Peter B., Peng, James, Han, Larry, Lange, Theis, Lu, Yun, Nie, Lei, Shih, Mei-Chiung, Waddy, Salina P., Wiley, Ken, Yann, Margot, Zafari, Zafar, Ghosh, Debashis, Follmann, Dean, Juraska, Michal, Díaz, Iván
For many rare diseases with no approved preventive interventions, promising interventions exist, yet it has been difficult to conduct a pivotal phase 3 trial that could provide direct evidence demonstrating a beneficial effect on the target disease o
Externí odkaz:
http://arxiv.org/abs/2407.06350
Difference-in-differences is based on a parallel trends assumption, which states that changes over time in average potential outcomes are independent of treatment assignment, possibly conditional on covariates. With time-varying treatments, parallel
Externí odkaz:
http://arxiv.org/abs/2406.16234
The Average Treatment Effect on the Treated (ATT) is a common causal parameter defined as the average effect of a binary treatment among the subset of the population receiving treatment. We propose a novel family of parameters, Generalized ATTs (GATT
Externí odkaz:
http://arxiv.org/abs/2405.06135
Platform trials are multi-arm designs that simultaneously evaluate multiple treatments for a single disease within the same overall trial structure. Unlike traditional randomized controlled trials, they allow treatment arms to enter and exit the tria
Externí odkaz:
http://arxiv.org/abs/2404.19118
Associations between pain-management treatments and opioid use disorder risk among Medicaid patients
Autor:
Rudolph, Kara E., Williams, Nicholas T., Diaz, Ivan, Forrest, Sarah, Hoffman, Katherine L., Samples, Hillary, Olfson, Mark, Doan, Lisa, Cerda, Magdalena, Ross, Rachael
Introduction: Chronic pain patients are at increased risk of opioid-misuse. Less is known about the unique risk conferred by each pain-management treatment, as treatments are typically implemented together, confounding their independent effects. We e
Externí odkaz:
http://arxiv.org/abs/2404.11802
In May 2023, the U.S. Food and Drug Administration (FDA) released guidance for industry on "Adjustment for Covariates in Randomized Clinical Trials for Drugs and Biological Products". Covariate adjustment is a statistical analysis method for improvin
Externí odkaz:
http://arxiv.org/abs/2404.11150