Research output per year
Research output per year
Personal profile
Research Interests
Applied and computational statistics
Biostatistics and bioinformatics
Robust and semiparametric statistical methods
Functional data
Quantitative image analysis
Education
PhD, Statistics, University of North Carolina at Chapel Hill, 1985
MS, Statistics, University of North Carolina at Chapel Hill, 1983
BA, Mathematics, Carleton College, 1980
Honors & Awards
Fellow, Institute of Mathematical Statistics (1998)
Fellow, American Statistical Association (2000)
Fellow, American Association for the Advancement of Science (2017)
Office Address
120 Illini Hall
725 S. Wright St.
M/C 374
Champaign, IL 61820
Office Phone
Fingerprint
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Automated Field of Interest Determination for Quantitative Ultrasound Analyses of Cervical Tissues: Toward Real-time Clinical Translation in Spontaneous Preterm Birth Risk Assessment
Zuo, J., Simpson, D. G., O'Brien, W. D., McFarlin, B. L. & Han, A., Dec 2024, In: Ultrasound in Medicine and Biology. 50, 12, p. 1861-1867 7 p.Research output: Contribution to journal › Article › peer-review
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Enhanced identification of women at risk for preterm birth via quantitative ultrasound: a prospective cohort study
McFarlin, B. L., Villegas-Downs, M., Mohammadi, M., Han, A., Simpson, D. G. & O'Brien, W. D., May 2024, In: American Journal of Obstetrics and Gynecology MFM. 6, 5, 101250.Research output: Contribution to journal › Article › peer-review
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Trajectory of Postpartum Cervical Remodeling in Women Delivering Full-Term and Spontaneous Preterm: Sensitivity to Quantitative Ultrasound Biomarkers
Villegas-Downs, M., Mohammadi, M., Han, A., O'Brien, W. D., Simpson, D. G., Peters, T. A., Schlaeger, J. M. & McFarlin, B. L., Dec 2024, In: Ultrasound in Medicine and Biology. 50, 12, p. 1777-1784 8 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Predicting Spontaneous Pre-term Birth Risk Is Improved When Quantitative Ultrasound Data Are Included With Historical Clinical Data
McFarlin, B. L., Liu, Y., Villegas-Downs, M., Mohammadi, M., Simpson, D. G., Han, A. & O'Brien, W. D., May 2023, In: Ultrasound in Medicine and Biology. 49, 5, p. 1145-1152 8 p.Research output: Contribution to journal › Article › peer-review
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Reflections on the IDEA Forum—Statistics, Climate Change, and Sustainability
Li, B. & Simpson, D., Jan 2 2023, In: CHANCE. 36, 1, p. 25-30Research output: Contribution to journal › Article › peer-review