Selected Recent Publications
Lohr, S. (2025). Estimating Crime Counts and Characteristics from NIBRS Data. Journal of Quantitative Criminology. This version of the article has been accepted for publication, after peer review but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s10940-025-09650-6. Use of this Accepted Version is subject to the publisher’s Accepted Manuscript terms of use https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms”.
Lohr, S. (2025). Review of Seminal Ideas and Controversies in Statistics by Roderick J.A. Little. Journal of Applied Statistics, https://doi.org/10.1080/02664763.2025.2606242. The Version of Record of this manuscript has been published and is available in Journal of Applied Statistics, December 24, 2025, https:/www.tandfonline.com/10.1080/02664763.2025.2606242. The publisher has made a limited number of free e-prints available to me: if you are one of the first 40 people to visit this page, you can download the Version of Record here.
Rao, J.N.K., and Lohr, S. (2025). Trends and directions in sample survey theory and methods (with discussion). Survey Methodology, 51, 81-113.
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.
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.
Selected Talks
Multiple frame methods and designs for combining data sources
International Association of Survey Statisticians webinar 50, March 26, 2025
Slides and References
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), Proceedings Paper (English) (French)
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 videoRed beads and profound knowledge: Deming and quality of education
Deming Lecture, Joint Statistical Meetings, Boston, August 5, 2014
Watch videoRegression 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