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Incorporating Data Quality Information in Mapping American Community Survey Data

Cartography and Geographic Information Science, 2010
This paper proposes a set of methods to map the American Community Survey (ACS) data disseminated by the U.S. Census Bureau. The ACS replaces part of the original census (long form) in the 2010 decennial Census in the U.S. Reliability of estimates should be taken into account when analyzing and mapping ACS data because these estimates are derived from ...
Sun, M, Wong, DWS
openaire   +4 more sources

Achieving a Representative Sample of Asian Americans in Biomedical Research Through Community-Based Approaches: Comparing Demographic Data in the All of Us Research Program With the American Community Survey

Journal of Transcultural Nursing, 2022
Background: Underrepresented persons are often not included in biomedical research. It is unknown if the general Asian American population is being represented in All of Us.
Fornessa T. Randal, Paula Lozano, Siya Qi, Chieko Maene, Sameep Shah, Yicklun Mo, F. Ratsimbazafy, E. Boerwinkle, M. Cicek, C. Clark, Elizabeth Cohn, K. Gebo, Roxana Loperena, K. Mayo, S. Mockrin, L. Ohno-Machado, S. Schully, Andrea H. Ramirez, B. Aschebrook-Kilfoy, H. Ahsan, Helen Lam, Karen E Kim   +21 more
semanticscholar   +1 more source

Using American Community Survey Data to Improve Estimates From Smaller U.S. Surveys Through Bivariate Small Area Estimation Models

Journal of Survey Statistics and Methodology, 2021
We demonstrate the potential for borrowing strength from estimates from the American Community Survey (ACS), the largest US household survey, to improve estimates from smaller US household surveys. We do this using simple bivariate area-level models to
Carolina Franco, W. Bell
semanticscholar   +1 more source

Spatial autocorrelation and data uncertainty in the American Community Survey: a critique

International Journal of Geographical Information Science, 2018
We argue that the use of American Community Survey (ACS) data in spatial autocorrelation statistics without considering error margins is critically problematic.
Paul H. Jung, J. Thill, M. Issel
semanticscholar   +1 more source