Survey Data Analysis Publications-Third Edition

Survey Data Analysis Publications (Since 2025) – Third Edition

Lihua Li , Chen Yang , Liangyuan Hu , Wei Zhang , Melissa Aldridge , Bian Liu , Madhu Mazumdar, “Comparative Effectiveness of Propensity Score Estimation Methods for Inverse Probability of Treatment Weighting Analysis with Complex Survey Data: A Simulation Study”, Journal of Survey Statistics and Methodology, Volume 14, Issue 2, April 2026, Pages 452–479.
Link to Paper

Afonso, A., Infante, P., “When the design effect is unknown: sensitivity of logistic regression and survival models to DEFF misspecification in complex surveys”. Qual Quant (2026).
Link to Paper

Anne Cohen, Trivellore Raghunathan, Michael Elliott. “An improved approach to account for complex sampling designs in Bayesian analyses”. Presenters from the University of Michigan Survey Methodology and Data Science Program and the Department of Biostatistics. Presented on May 15, 2026 at AAPOR.
Cohen-AAPOR-presentation-final

Lai, M. H. C., Kwok, O.-m., Hsiao, Y.-Y., & Cao, Q. (2018). “Finite population correction for two-level hierarchical linear models”. Psychological Methods, 23(1), 94–112. Link to Paper

Amaia Iparragirre, Thomas Lumley, Irantzu Barrio, “Design-Based Inference for the AUC with Complex Survey Data”, arXiv:2603.28320v1 [stat.ME] 30 Mar 2026.
Link to Paper

“WeMix: Weighted Mixed-Effects Models Using Multilevel Pseudo Maximum Likelihood Estimation”, R package published 2023-11-03, Maintainer Paul Bailey.
Link to Package

Thomas Lumley, “Pseudo-R2 statistics under complex sampling”, First published: 09 June 2017, https://doi.org/10.1111/anzs.12187Digital Object Identifier (DOI)
Link to Paper

Doreen Jehu-Appiah and Emmanuel Obeng-Gya. “A Practical Framework for Incorporating Complex Survey Design in Bayesian Kernel Machine Regression”, Stats 2026, 9(3), 46; https://doi.org/10.3390/stats9030046 (registering DOI), Published: 23 April 2026.
Link to Paper

Satty, A. “Statistical methods for dimensionality reduction in complex surveys: application of survey-weighted sure independence screening”. Sci. J. King Faisal Univ.: Basic Appl. Sci. 27, 1 (2026).
Link to Paper

Mamadou S. Diallo, “svy: A Python Package for the Design, Analysis and Reporting of Complex Survey Data”, Published January 18, 2026 and Modified April 12, 2026.
Link to Documentation and Tutorials

Zheng, Xiaying; Dai, Shenghai; Kirakosian, Antranik (2026). “When the sandwich makes you hesitate, replicate: on sampling variance estimation of multilevel models under complex sample design”, Published in: Large-scale Assessments in Education, 2/26/2026. Database: Education Abstracts (H.W. Wilson).
Link to Paper

Liao, D. and Valliant, R. (2025). “Collinearity diagnostics in generalized linear models fitted with survey data”, Survey Methodology, 51(2), 561-588. Published online December 23, 2025.
Link to Paper

Li-Yen R. Hu Yulei He Katherine E. Irimata & Vladislav Beresovsky, “Much Ado About Survey Tables: A Comparison of Chi-Square Tests and Software to Analyze Categorical Survey Data”,
The American Statistician, Pages 480-491, Published online: 30 Jun 2025.
Link to Paper

Daniell Toth, Scott H Holan, Diya Bhaduri, “Bayesian Tree Models for Survey Sample Data”, Journal of Survey Statistics and Methodology, smae050, https://doi.org/10.1093/jssam/smae050, Published: 28 February 2025.
Link to Paper

Guoyi Zhang, Mohammed Quazi, and Yang Cheng, “Adjusted Design Effect Model for Longitudinal Survey Data”, Journal of Official Statistics, Volume 41, Issue 1, March 2025.
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LYR Hu, Y He, KE Irimata, V Beresovsky, “Much Ado About Survey Tables: A Comparison of Chi-Square Tests and Software to Analyze Categorical Survey Data”, The American Statistician, May, 2025.
Link to Paper

Giovanni Nattino, Robert Ashmead and Bo Lu, “Causal Inference with Complex Surveys: A Unified Perspective on Sample Selection and Exposure Selection”, The American Statistician, Volume 79, 2025 – Issue 2.
Link to Paper

Jean D. Opsomer and Minsun K. Riddles, “sCHAID: A tool for constructing nonresponse adjustment cells under a design-based framework”, Release date: June 30, 2025, Survey Methodology, 51(1), 217-231.
Link to Paper