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pro vyhledávání: '"Matsouaka, Roland A."'
The use of propensity score (PS) methods has become ubiquitous in causal inference. At the heart of these methods is the positivity assumption. Violation of the positivity assumption leads to the presence of extreme PS weights when estimating average
Externí odkaz:
http://arxiv.org/abs/2309.01334
There has been a recent surge in statistical methods for handling the lack of adequate positivity when using inverse probability weights (IPW). However, these nascent developments have raised a number of questions. Thus, we demonstrate the ability of
Externí odkaz:
http://arxiv.org/abs/2210.12968
Common causal estimands include the average treatment effect (ATE), the average treatment effect of the treated (ATT), and the average treatment effect on the controls (ATC). Using augmented inverse probability weighting methods, parametric models ar
Externí odkaz:
http://arxiv.org/abs/2209.10742
Autor:
Saha, Amit, Li, Shuang, de Lemos, James A., Pandey, Ambarish, Bhatt, Deepak L., Fonarow, Gregg C., Nallamothu, Brahmajee K., Wang, Tracy Y., Navar, Ann Marie, Peterson, Eric, Matsouaka, Roland A., Bavry, Anthony A., Das, Sandeep R., Grodin, Justin L., Khera, Rohan, Drazner, Mark H., Kumbhani, Dharam J.
Publikováno v:
In The American Journal of Cardiology 15 June 2024 221:19-28
Autor:
Matsouaka, Roland A., Coles, Adrian
As alternatives to the time-to-first-event analysis of composite endpoints, the {\it net benefit} (NB) and the {\it win ratio} (WR) -- which assess treatment effects using prioritized component outcomes based on clinical importance -- have been propo
Externí odkaz:
http://arxiv.org/abs/2011.10720
Autor:
Matsouaka, Roland A., Zhou, Yunji
In this paper, we consider recent progress in estimating the average treatment effect when extreme inverse probability weights are present and focus on methods that account for a possible violation of the positivity assumption. These methods aim at e
Externí odkaz:
http://arxiv.org/abs/2011.01388
Autor:
Matsouaka, Roland A., Atem, Folefac D.
In a longitudinal study, measures of key variables might be incomplete or partially recorded due to drop-out, loss to follow-up, or early termination of the study occurring before the advent of the event of interest. In this paper, we focus primarily
Externí odkaz:
http://arxiv.org/abs/2008.07713
Publikováno v:
Statistical Methods in Medical Research. 2020;29(12):3721-3756
Propensity score (PS) weighting methods are often used in non-randomized studies to adjust for confounding and assess treatment effects. The most popular among them, the inverse probability weighting (IPW), assigns weights that are proportional to th
Externí odkaz:
http://arxiv.org/abs/2006.04038
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Autor:
Swat, Stanley A., Xu, Haolin, Allen, Larry A., Greene, Stephen J., DeVore, Adam D., Matsouaka, Roland A., Goyal, Parag, Peterson, Pamela N., Hernandez, Adrian F., Krumholz, Harlan M., Yancy, Clyde W., Fonarow, Gregg C., Hess, Paul L.
Publikováno v:
In JACC: Heart Failure August 2023 11(8) Part 1:918-929