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Statistical Journal of the IAOS|July 7, 2015
Measuring health care costs of individuals with employer-sponsored health insurance in the U.S.: A comparison of survey and claims dataAna Aizcorbe, Eli Liebman, Sarah Pack, et al.Statistical Journal of the IAOS|August 25, 2020
Multiple imputation to account for linkage ineligibility in the NHANES-CMS Medicaid linked data: General use versus subject specific imputation modelsJennifer Rammon, Yulei He, Jennifer D ParkerStatistical Journal of the IAOS|October 4, 2014
Creating Statistically Literate Global Citizens: The Use of IPUMS-International Integrated Census Microdata in TeachingAnn Meier, David LamStatistical Journal of the IAOS|April 24, 2018
Counting Marriages in the United States: The Value of County-Level Administrative DataWendy Manning, Krista Payne, Bart StykesStatistical Journal of the IAOS|January 22, 2016
Back to the basics: Identifying and addressing underlying challenges in achieving high quality and relevant health statistics for indigenous populations in CanadaJanet Smylie, Michelle FirestoneStatistical Journal of the IAOS|August 20, 2021
Using supervised machine learning to identify efficient blocking schemes for record linkageScott R Campbell, Dean M Resnick, Christine S Cox, et al.Statistical Journal of the IAOS|October 16, 2018
The methods and materials of health expectancyYasuhiko Saito, Jean-Marie Robine, Eileen M CrimminsStatistical Journal of the IAOS|May 27, 2024
Evaluating data quality for blended data using a data quality frameworkJennifer D Parker, Lisa B Mirel, Phillip Lee, et al.Statistical Journal of the IAOS|August 25, 2017
IPUMS International: A review and future prospects of a unique global statistical cooperation programmeAlphonse L MacDonaldStatistical Journal of the IAOS|August 5, 2022
The Research and Development Survey (RANDS) during COVID-19Katherine E Irimata, Paul J ScanlonPageof 2