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pro vyhledávání: '"Rosenman, Evan T. R."'
Motivated by the proliferation of observational datasets and the need to integrate non-randomized evidence with randomized controlled trials, causal inference researchers have recently proposed several new methodologies for combining biased and unbia
Externí odkaz:
http://arxiv.org/abs/2309.06727
Autor:
Kenny, Christopher T., Kuriwaki, Shiro, McCartan, Cory, Rosenman, Evan T. R., Simko, Tyler, Imai, Kosuke
Publikováno v:
Harvard Data Science Review, (Special Issue 2, 2023)
In "Differential Perspectives: Epistemic Disconnects Surrounding the US Census Bureau's Use of Differential Privacy," boyd and Sarathy argue that empirical evaluations of the Census Disclosure Avoidance System (DAS), including our published analysis,
Externí odkaz:
http://arxiv.org/abs/2210.08383
We provide the largest compiled publicly available dictionaries of first, middle, and last names for the purpose of imputing race and ethnicity using, for example, Bayesian Improved Surname Geocoding (BISG). The dictionaries are based on the voter fi
Externí odkaz:
http://arxiv.org/abs/2208.12443
Prediction of individual's race and ethnicity plays an important role in social science and public health research. Examples include studies of racial disparity in health and voting. Recently, Bayesian Improved Surname Geocoding (BISG), which uses Ba
Externí odkaz:
http://arxiv.org/abs/2205.06129
Autor:
Rosenman, Evan T. R., Miratrix, Luke
We consider how increasingly available observational data can be used to improve the design of randomized controlled trials (RCTs). We seek to design a prospective RCT, with the intent of using an Empirical Bayes estimator to shrink the causal estima
Externí odkaz:
http://arxiv.org/abs/2204.06687
The output of predictive models is routinely recalibrated by reconciling low-level predictions with known derived quantities defined at higher levels of aggregation. For example, models predicting turnout probabilities at the individual level in U.S.
Externí odkaz:
http://arxiv.org/abs/2112.06674
We consider the problem of designing a prospective randomized trial in which the outcome data will be self-reported, and will involve sensitive topics. Our interest is in misreporting behavior, and how respondents' tendency to under- or overreport a
Externí odkaz:
http://arxiv.org/abs/2108.08944
Akademický článek
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Autor:
Rosenman Evan T. R., Owen Art B.
Publikováno v:
Journal of Causal Inference, Vol 9, Iss 1, Pp 147-171 (2021)
The increasing availability of passively observed data has yielded a growing interest in “data fusion” methods, which involve merging data from observational and experimental sources to draw causal conclusions. Such methods often require a precar
Externí odkaz:
https://doaj.org/article/40fa5c588af44d189ec2cede6372997c
Akademický článek
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