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20212026
most citedUnrepresentative Big Surveys Significantly Overestimate US Vaccine Uptake

263 citations · 485 across the 11 of their papers we have counts for

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5 papers · 1 filter

stat.AP2026

The Role of Confounders and Linearity in Ecological Inference: A Reassessment

Shiro Kuriwaki, Cory McCartan

Estimating conditional means using only the marginal means available from aggregate data is known as the ecological inference problem. We reassess this literature, arguing that it…

stat.AP2022★ 9 cited

Comment: The Essential Role of Policy Evaluation for the 2020 Census Disclosure Avoidance System

Christopher T. Kenny, Shiro Kuriwaki, Cory McCartan +3

In "Differential Perspectives: Epistemic Disconnects Surrounding the US Census Bureau's Use of Differential Privacy," boyd and Sarathy argue that empirical evaluations of the Censu…

stat.AP2022★ 25 cited

Simulated redistricting plans for the analysis and evaluation of redistricting in the United States

Cory McCartan, Christopher T. Kenny, Tyler Simko +5

This article introduces the 50stateSimulations, a collection of simulated congressional districting plans and underlying code developed by the Algorithm-Assisted Redistricting Meth…

stat.AP2021★ 263 cited

Unrepresentative Big Surveys Significantly Overestimate US Vaccine Uptake

Valerie C. Bradley, Shiro Kuriwaki, Michael Isakov +3

Surveys are a crucial tool for understanding public opinion and behavior, and their accuracy depends on maintaining statistical representativeness of their target populations by mi…

stat.AP2021★ 116 cited

The Impact of the U.S. Census Disclosure Avoidance System on Redistricting and Voting Rights Analysis

Christopher T. Kenny, Shiro Kuriwaki, Cory McCartan +3

The US Census Bureau plans to protect the privacy of 2020 Census respondents through its Disclosure Avoidance System (DAS), which attempts to achieve differential privacy guarantee…