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pro vyhledávání: '"STUART, ELIZABETH A."'
Missing data is a common problem that challenges the study of effects of treatments. In the context of mediation analysis, this paper addresses missingness in the two key variables, mediator and outcome, focusing on identification. We consider self-s
Externí odkaz:
http://arxiv.org/abs/2411.07221
Autor:
Antonelli, Joseph, Rubinstein, Max, Agniel, Denis, Smart, Rosanna, Stuart, Elizabeth, Cefalu, Matthew, Schell, Terry, Eagan, Joshua, Stone, Elizabeth, Griswold, Max, Sorbero, Mark, Griffin, Beth Ann
Motivated by the study of state opioid policies, we propose a novel approach that uses autoregressive models for causal effect estimation in settings with panel data and staggered treatment adoption. Specifically, we seek to estimate of the impact of
Externí odkaz:
http://arxiv.org/abs/2408.09012
Autor:
Ben-Michael, Eli, Doucette, Mitchell L., Feller, Avi, McCourt, Alexander D., Stuart, Elizabeth A.
Gun violence is a critical public health and safety concern in the United States. There is considerable variability in policy proposals meant to curb gun violence, ranging from increasing gun availability to deter potential assailants (e.g., conceale
Externí odkaz:
http://arxiv.org/abs/2404.11506
Autor:
Schuler, Megan S., Coffman, Donna L., Stuart, Elizabeth A., Nguyen, Trang Q., Vegetabile, Brian, McCaffrey, Daniel F.
Mediation analysis is a statistical approach that can provide insights regarding the intermediary processes by which an intervention or exposure affects a given outcome. Mediation analyses rose to prominence, particularly in social science research,
Externí odkaz:
http://arxiv.org/abs/2402.01003
Randomized controlled trials (RCTs) serve as the cornerstone for understanding causal effects, yet extending inferences to target populations presents challenges due to effect heterogeneity and underrepresentation. Our paper addresses the critical is
Externí odkaz:
http://arxiv.org/abs/2401.14512
Publikováno v:
Biostatistics, 2024
The study of treatment effects is often complicated by noncompliance and missing data. In the one-sided noncompliance setting where of interest are the complier and noncomplier average causal effects (CACE and NACE), we address outcome missingness of
Externí odkaz:
http://arxiv.org/abs/2312.11136
Autor:
Griffin, Beth Ann, Schuler, Megan S., Stone, Elizabeth M., Patrick, Stephen W., Stein, Bradley D., de Lima, Pedro Nascimento, Griswold, Max, Scherling, Adam, Stuart, Elizabeth A.
Background: Policy evaluation studies that assess how state-level policies affect health-related outcomes are foundational to health and social policy research. The relative ability of newer analytic methods to address confounding, a key source of bi
Externí odkaz:
http://arxiv.org/abs/2307.01413
Autor:
Williamson, Brian D, Wyss, Richard, Stuart, Elizabeth A, Dang, Lauren E, Mertens, Andrew N, Wilson, Andrew, Gruber, Susan
Real-world data, such as administrative claims and electronic health records, are increasingly used for safety monitoring and to help guide regulatory decision-making. In these settings, it is important to document analytic decisions transparently an
Externí odkaz:
http://arxiv.org/abs/2305.07564
Autor:
Dang, Lauren E, Gruber, Susan, Lee, Hana, Dahabreh, Issa, Stuart, Elizabeth A, Williamson, Brian D, Wyss, Richard, Díaz, Iván, Ghosh, Debashis, Kıcıman, Emre, Alemayehu, Demissie, Hoffman, Katherine L, Vossen, Carla Y, Huml, Raymond A, Ravn, Henrik, Kvist, Kajsa, Pratley, Richard, Shih, Mei-Chiung, Pennello, Gene, Martin, David, Waddy, Salina P, Barr, Charles E, Akacha, Mouna, Buse, John B, van der Laan, Mark, Petersen, Maya
Increasing emphasis on the use of real-world evidence (RWE) to support clinical policy and regulatory decision-making has led to a proliferation of guidance, advice, and frameworks from regulatory agencies, academia, professional societies, and indus
Externí odkaz:
http://arxiv.org/abs/2305.06850
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