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pro vyhledávání: '"Rubin, Donald B"'
Meta-analysis can be a critical part of the research process, often serving as the primary analysis on which the practitioners, policymakers, and individuals base their decisions. However, current literature synthesis approaches to meta-analysis typi
Externí odkaz:
http://arxiv.org/abs/2308.13514
Re-randomization has gained popularity as a tool for experiment-based causal inference due to its superior covariate balance and statistical efficiency compared to classic randomized experiments. However, the basic re-randomization method, known as R
Externí odkaz:
http://arxiv.org/abs/2303.07904
Catalytic prior distributions provide general, easy-to-use, and interpretable specifications of prior distributions for Bayesian analysis. They are particularly beneficial when the observed data are inadequate to stably estimate a complex target mode
Externí odkaz:
http://arxiv.org/abs/2208.14123
Autor:
Pashley, Nicole E., Hunter, Kristen B., McKeough, Katy, Rubin, Donald B., Dasgupta, Tirthankar
Consider a situation with two treatments, the first of which is randomized but the second is not, and the multifactor version of this. Interest is in treatment effects, defined using standard factorial notation. We define estimators for the treatment
Externí odkaz:
http://arxiv.org/abs/2202.03533
Mahalanobis distance between treatment group and control group covariate means is often adopted as a balance criterion when implementing a rerandomization strategy. However, this criterion may not work well for high-dimensional cases because it balan
Externí odkaz:
http://arxiv.org/abs/2102.12262
Autor:
Smith, Steven T., Kao, Edward K., Mackin, Erika D., Shah, Danelle C., Simek, Olga, Rubin, Donald B.
The weaponization of digital communications and social media to conduct disinformation campaigns at immense scale, speed, and reach presents new challenges to identify and counter hostile influence operations (IOs). This paper presents an end-to-end
Externí odkaz:
http://arxiv.org/abs/2005.10879
With many pretreatment covariates and treatment factors, the classical factorial experiment often fails to balance covariates across multiple factorial effects simultaneously. Therefore, it is intuitive to restrict the randomization of the treatment
Externí odkaz:
http://arxiv.org/abs/1812.10911