Zobrazeno 1 - 10
of 564
pro vyhledávání: '"Rudolph, Kara E"'
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
Autor:
Williams, Nicholas, Rudolph, Kara E.
Objective: Freely preprocess drug codes recorded in electronic health records and insurance claims to drug classes that may then be used in biomedical research. Materials and Methods: We developed a drug classification pipeline for linking National D
Externí odkaz:
http://arxiv.org/abs/2404.01514
Autor:
Gilbert, Brian, Hoffman, Katherine L., Williams, Nicholas, Rudolph, Kara E., Schenck, Edward J., Díaz, Iván
We demonstrate a comprehensive semiparametric approach to causal mediation analysis, addressing the complexities inherent in settings with longitudinal and continuous treatments, confounders, and mediators. Our methodology utilizes a nonparametric st
Externí odkaz:
http://arxiv.org/abs/2403.09928
Studies often report estimates of the average treatment effect. While the ATE summarizes the effect of a treatment on average, it does not provide any information about the effect of treatment within any individual. A treatment strategy that uses an
Externí odkaz:
http://arxiv.org/abs/2401.10867
The presence of intermediate confounders, also called recanting witnesses, is a fundamental challenge to the investigation of causal mechanisms in mediation analysis, preventing the identification of natural path-specific effects. Proposed alternativ
Externí odkaz:
http://arxiv.org/abs/2401.04450
Autor:
Williams, Nicholas T., Liu, Richard, Hoffman, Katherine L., Forrest, Sarah, Rudolph, Kara E., Díaz, Iván
Non-negative two-part outcomes are defined as outcomes with a density function that have a zero point mass but are otherwise positive. Examples, such as healthcare expenditure and hospital length of stay, are common in healthcare utilization research
Externí odkaz:
http://arxiv.org/abs/2401.04263
Difference-in-differences (DID) is a popular approach to identify the causal effects of treatments and policies in the presence of unmeasured confounding. DID identifies the sample average treatment effect in the treated (SATT). However, a goal of su
Externí odkaz:
http://arxiv.org/abs/2310.17806
Autor:
Hoffman, Katherine L., Salazar-Barreto, Diego, Williams, Nicholas, Rudolph, Kara E., Diaz, Ivan
This tutorial discusses methodology for causal inference using longitudinal modified treatment policies. This method facilitates the mathematical formalization, identification, and estimation of many novel parameters, and mathematically generalizes m
Externí odkaz:
http://arxiv.org/abs/2304.09460
We develop flexible, semiparametric estimators of the average treatment effect (ATE) transported to a new population ("target population") that offer potential efficiency gains. Transport may be of value when the ATE may differ across populations. We
Externí odkaz:
http://arxiv.org/abs/2304.00117
Mediation analysis is appealing for its ability to improve understanding of the mechanistic drivers of causal effects, but real-world data complexities challenge its successful implementation, including: 1) the existence of post-exposure variables th
Externí odkaz:
http://arxiv.org/abs/2212.08164