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  Back to Biostatistics

Recent publications on Biostatistics

Li D, Cruz M, Mooney SJ, Cook AJ, Bobb JF Mitigating the risk of bias exacerbation when controlling for unmeasured spatial confounding for binary exposures 2026 Mar 17;195(4):1063-1072 doi:10.1093/aje/kwaf248. doi: 10.1093/aje/kwaf248. Epub 2025-11-07. PubMed

Cook AJ, Wellman RD, Marsh T, Tiwari RC, Nguyen MD, Russek-Cohen E, Peng Y, Nelson JC Estimating Risk Differences Using Large Healthcare Data Networks for Medical Product Post-Market Safety Outcomes in a Distributed Data Setting and Allowing for Active Post-Market Surveillance 2026 Mar;45(6-7):e70440 doi:10.1002/sim.70440. doi: 10.1002/sim.70440. PubMed

Gatto NM, Cronkite DJ, Wartko PD, Ball R, Carrell DS, Eniafe R, Desai R, Floyd JS, Lee T, Nelson JC, Shebl FM, Schoeplein R, Toh S, Zhang M, Dublin S, Hernández-Muñoz JJ A Systematic Process for Assessing Fitness-for-Purpose of Health Outcomes for Computable Phenotyping With Electronic Health Record Data 2026 Mar;35(3):e70346. doi: 10.1002/pds.70346. PubMed

Shi X, Zhai Y, Yu X, Li X, Hazlehurst BL, Nyongesa DB, Sapp DS, Williamson BD, Carrell DS, Healy L, Cushing-Haugen KL, Wong J, Wang SV, Floyd JS, Shattuck K, McGown S, Alam S, Hernández-Muñoz JJ, Li J, Ma Y, Stojanovic D, Raman SR, Davis SE, Cai T, Nelson JC, Heagerty PJ Statistical methods to harmonize electronic health record data across healthcare systems: case study and lessons learned 2026 Feb 28;42(3). doi: 10.1093/bioinformatics/btag107. PubMed

Williamson BD, Krakauer C, Johnson E, Gruber S, Shepherd BE, van der Laan MJ, Lumley T, Lee H, Hernández-Muñoz JJ, Zhao F, Dutcher SK, Desai R, Simon GE, Shortreed SM, Nelson JC, Shaw PA Assessing Treatment Effects in Observational Data With Missing Confounders: A Comparative Study of Practical Doubly-Robust and Traditional Missing Data Methods 2026 Feb;45(3-5):e70366. doi: 10.1002/sim.70366. PubMed

Hsu C, Glass D, Cruz S, Corage Baden A, Senturia K Beyond saturation: A qualitative framework for operationalizing respondent sampling (Q-FORS) for data adequacy 2026 Feb;390:118781 doi:10.1016/j.socscimed.2025.118781. doi: 10.1016/j.socscimed.2025.118781. Epub 2025-11-12. PubMed

Slone J, Amorim G, Semeere A, Diero L, Otero L, Crabtree-Ramirez B, Tao R, Duda SN, Musick B, Yiannoutsos C, Lumley T, Shaw PA, Shepherd BE Analysis approaches to combine error-prone data with a subset of validated data: an application to a multinational study of Kaposi sarcoma and HIV 2026 Jan 22 doi: 10.1093/aje/kwag015. Epub 2026-01-22. PubMed

McClure DL, Hanson KE, Sundaram ME, Kieke BA, Duffy J, McNeil MM, Glanz JM, Irving SA, Williams JTB, Kharbanda EO, Xu S, Zerbo O, Nelson JC, Belongia EA, Weintraub ES Incident Epilepsy and Vaccination Status or Vaccine Aluminum Exposure in Children Under Age 4 2026 Jan 19 doi: 10.1016/j.jpeds.2026.115004. Epub 2026-01-19. PubMed

Ye S, Cruz M, Wang Z, Yu Y A marginalized three-part interrupted time series regression model for proportional data 2026 Jan 18; doi.org/10.1080/02664763.2026.261475. doi: 10.1080/02664763.2026.2614752. Epub 2026-01-18. PubMed

Hyun N, Idu AE, Cook AJ, Bobb JF Increased risk of type I errors for detecting heterogeneity of treatment effects in cluster-randomized trials using mixed-effect models 2026 Jan 12 doi: 10.1186/s12874-025-02744-6. Epub 2026-01-12. PubMed

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