Dr. Berchuck is a Forge Scholar and statistical researcher specializing in quantitative methodologies to improve disease management and healthcare for glaucoma patients. As a member of the Visual Performance Lab in the Duke Eye Center, Dr. Berchuck’s primary research focus is to improve glaucoma progression diagnoses by developing a modeling framework that appropriately combines the various data modalities collected at clinical visits. His primary methodological interests include Bayesian methods, spatial statistics, MCMC algorithms, factor analysis, latent variable models, and causal inference.
Berchuck, S. I., et al. “Diagnosing Glaucoma Progression With Visual Field Data Using a Spatiotemporal Boundary Detection Method.” Journal of the American Statistical Association, Jan. 2019. Scopus, doi:10.1080/01621459.2018.1537911. Full Text
Beamon, Carmen, et al. “Predicting neonatal respiratory morbidity by lamellar body count and gestational age..” Journal of Perinatal Medicine, vol. 44, no. 6, Aug. 2016, pp. 677–83. Epmc, doi:10.1515/jpm-2014-0310. Full Text
Berchuck, S. I., et al. “Spatially modelling the association between access to recreational facilities and exercise: The 'Multi-ethnic study of atherosclerosis'.” Journal of the Royal Statistical Society. Series A: Statistics in Society, vol. 179, no. 1, Jan. 2016, pp. 293–310. Scopus, doi:10.1111/rssa.12119. Full Text
Park, J. K., et al. “Aneuploidy prevalence is no different between embryos biopsied on day 5 vs day 6.” Fertility and Sterility, vol. 100, no. 3, Elsevier BV, Sept. 2013, pp. S197–S197. Crossref, doi:10.1016/j.fertnstert.2013.07.1344. Full Text
Meyer, W. R., et al. “Intrauterine insemination pregnancy rates do not differ between physicians and nurses.” Fertility and Sterility, vol. 98, no. 3, Elsevier BV, Sept. 2012, pp. S73–S73. Crossref, doi:10.1016/j.fertnstert.2012.07.263. Full Text
Pokorney, Sean, et al. “ATRIAL ISCHEMIA AS A MECHANISM OF ATRIAL FIBRILLATION.” Journal of the American College of Cardiology, vol. 71, no. 11, Elsevier BV, 2018, pp. A372–A372. Crossref, doi:10.1016/s0735-1097(18)30913-6. Full Text
Berchuck, S. A Spatially Varying Change Point Model for Determining Glaucoma Progression Using Visual Field Data. pp. 61–61.
Berchuck, S., et al. Assessing Shifts in Outpatient Visits to Physicians of Other Specialties in Rural Areas with Shortages of Cardiologists and Gastroenterologists: A Preliminary Analysis. Apr. 2015, pp. 1–9.