National Academies of Sciences, Engineering, and Medicine (2023). Toward a 21st Century National Data Infrastructure: Enhancing Survey Programs by Using Multiple Data Sources, ed. Lohr, S., Weinberg, D., and Marton, K. Washington, DC: National Academies Press.

Lohr, S. (2023). Assuming a nonresponse model does not make it true. Harvard Data Science Review, 5(3), 1-10.

Lohr, S. (2021). Multiple-frame surveys for a multiple-data-source world. Survey Methodology, 47, 229-263.

Lohr, S. (2019). Gertrude M. Cox and statistical design. Notices of the American Mathematical Society, 66, 317-323.

Brick, J.M. and Lohr, S. (2019). Experimental evaluation of mail questionnaires in a probability sample on victimization. Journal of the Royal Statistical Society, Series A, 182, 669-687.

Lohr, S. and Brick, J.M. (2017). Roosevelt predicted to win: Revisiting the Literary Digest Poll of 1936. Statistics, Politics, and Policy, 8, 65-84.

Lohr, S. and Raghunathan, T.E. (2017). Combining survey data with other data sources. Statistical Science, 32, 293-312.

List of publications

Ahead of the trends: J.N.K. Rao’s Contributions to Survey Research

Statistics Canada International Methodology Symposium: The Future of Official Statistics, November 1, 2024

Slides (including references) and Proceedings Paper

Sweatshops, smallpox, and statistics: Florence Kelley in 1890s Chicago

Winter lecture at the Georgia Chapter of the American Statistical Association, December 14, 2021

Slides and References

Multiple-frame surveys for a multiple-data-source world

2021 Waksberg Lecture, presented at Statistics Canada's 2021 International Methodology Symposium “Adopting Data Science in Official Statistics to Meet Society's Emerging Needs”

View slides. Download list of references. Download Survey Methodology paper.

Combining data and crime
Plenary address at the Federal Committee on Statistical Methodology (FCSM) Research and Policy Conference
Washington, DC, March 7, 2018.
View slides. Download proceedings paper.

The essential survey statistician
Joint Program in Survey Methodology Distinguished Lecture
College Park, MD, March 11, 2016
Watch video

Red beads and profound knowledge: Deming and quality of education
Deming Lecture, Joint Statistical Meetings, Boston, August 5, 2014
Watch video

Regression trees with survey data

Joint Statistical Meetings, Washington DC, August 6, 2009 (joint with G. Mendez; proposes random forest for small area estimation). View slides