Zobrazeno 1 - 10
of 696
pro vyhledávání: '"Roy, Jason A."'
Autor:
He, Jiang, Shlipak, Michael, Anderson, Amanda, Roy, Jason A., Feldman, Harold I., Kallem, Radhakrishna Reddy, Kanthety, Radhika, Kusek, John W., Ojo, Akinlolu, Rahman, Mahboob, Ricardo, Ana C., Soliman, Elsayed Z., Wolf, Myles, Zhang, Xiaoming, Raj, Dominic, Hamm, Lee
Background-Heart failure is common in patients with chronic kidney disease. We studied risk factors for incident heart failure among 3557 participants in the CRIC (Chronic Renal Insufficiency Cohort) Study. Methods and Results-Kidney function was ass
Externí odkaz:
http://hdl.handle.net/10150/625054
http://arizona.openrepository.com/arizona/handle/10150/625054
http://arizona.openrepository.com/arizona/handle/10150/625054
We develop a Bayesian semi-parametric model for the estimating the impact of dynamic treatment rules on survival among patients diagnosed with pediatric acute myeloid leukemia (AML). The data consist of a subset of patients enrolled in the phase III
Externí odkaz:
http://arxiv.org/abs/2211.16393
Mediation analysis with contemporaneously observed multiple mediators is an important area of causal inference. Recent approaches for multiple mediators are often based on parametric models and thus may suffer from model misspecification. Also, much
Externí odkaz:
http://arxiv.org/abs/2208.13382
Publikováno v:
In Contemporary Clinical Trials July 2024 142
In observational studies, causal inference relies on several key identifying assumptions. One identifiability condition is the positivity assumption, which requires the probability of treatment be bounded away from 0 and 1. That is, for every covaria
Externí odkaz:
http://arxiv.org/abs/2110.10266
Publikováno v:
The International Journal of Biostatistics, 2022
A major focus of causal inference is the estimation of heterogeneous average treatment effects (HTE) - average treatment effects within strata of another variable of interest such as levels of a biomarker, education, or age strata. Inference involves
Externí odkaz:
http://arxiv.org/abs/2009.10839
Autor:
Oganisian, Arman, Roy, Jason A.
Substantial advances in Bayesian methods for causal inference have been developed in recent years. We provide an introduction to Bayesian inference for causal effects for practicing statisticians who have some familiarity with Bayesian models and wou
Externí odkaz:
http://arxiv.org/abs/2004.07375
The Wisconsin Smoker's Health Study (WSHS2) was a longitudinal trial conducted to compare the effectiveness of two commonly used smoking cessation treatments, varenicline and combination nicotine replacement therapy (cNRT) with the less intense stand
Externí odkaz:
http://arxiv.org/abs/2003.00029
Cost-effectiveness analyses (CEAs) are at the center of health economic decision making. While these analyses help policy analysts and economists determine coverage, inform policy, and guide resource allocation, they are statistically challenging for
Externí odkaz:
http://arxiv.org/abs/2002.04706
Considerations regarding clinical effectiveness and cost are essential in comparing the overall value of two treatments. There has been growing interest in methodology to integrate cost and effectiveness measures in order to inform policy and promote
Externí odkaz:
http://arxiv.org/abs/1912.00039