Damian Pavlyshyn

Publications and Preprints as first and joint first author

Authorship order in statistics papers is always alphabetical.

  1. I. M. Johnstone, Y. Klochkov, A. Onatski, and D. Pavlyshyn. “Spin Glass to Paramagnetic Transition in Spherical Sherrington-Kirkpatrick Model with Ferromagnetic Interaction.” In Bernoulli 31.1 (2025). Journal paper arXiv

  1. I. M. Johnstone, Y. Klochkov, A. Onatski, and D. Pavlyshyn. “Spin Glass to Paramagnetic Transition and Triple Point in Spherical SK Model.” In Journal of Statistical Physics 191 (2024) Journal paper arXiv

  1. D. Pavlyshyn, I. M. Johnstone, and J. L. Sztepanavz. "Comparison of REML methods for the study of phenome-wide genetic variation." (2022). arXiv: 2210.11709. arXiv R package

  1. D. Pavlyshyn, I. Johnstone and R. Saller. “Lead Pollution and the Roman Economy.” In: Journal of Roman Archaeology 33 (2020), pp. 354-364. Journal paper

Other Publications and Preprints

  1. F. Djordjevic, A. Stewart, D. Vella-Horne, Z. Gleeson, D. Pavlyshyn, M. Gill, R. Petrovic, N. Scott, P. Higgs, A. Roth, B. Cocchiaro, P. Dietze, D. O’Keefe. “Feasibility and acceptability of multiple methods of recording injecting drug use episode data among people who inject drugs in Melbourne, Australia: a pilot evaluation study protocol.” In BMJ Open 14.12 (2024). Journal paper

  1. T. Ke, M. Livingston, Y. Zhang, D. Pavlyshyn, A. Altermatt, A. Thomas, T. Nguyen, S. Walker, S. Hill, A. Coelho, A. Pedrana, M. Stoové, M. Hellard, K. B. Gibney, A. L. Wilkinson. “A longitudinal study of alcohol consumption among adults in Victoria, Australia during the COVID-19 pandemic.” In: PLoS ONE 19.12 (2024). Journal paper

  1. J. Cumming, N. Scott, J. Howell, J. E. Flores, D. Pavlyshyn, M. E. Hellard, L. S. Winata, M. Ryan, T. Sutherland, A. J. Thompson, et al. “Improving Hepatocellular Carcinoma Surveillance Outcomes in Patients with Cirrhosis after Hepatitis C Cure: A Modelling Study.” In: Cancers 16.15 (2024). Journal paper

  1. A. C. Hearps, N. Vootukuru, S. Ebrahimnezhaddarzi, B. L. Harney. I. Boo, L. Nguyen, D. Pavlyshyn, P. M. Dietze, H. E. Drummer, A. J. Thompson, A. Jaworowski, M. E. Hellard, R. Sacks-Davis, J. S. “Injecting drug use and hepatitis C virus infection independently increase biomarkers of inflammatory disease risk which are incompletely restored by curative direct-acting antiviral therapy.” In: Frontiers in Immunology 15 (2024). Journal paper

  1. A. Kan, D. Pavlyshyn, J. Markham, M. R. Dowling, et. al. “Stochastic measurement models for quantifying lymphocyte response using flow cytometry.” In: PloS one 11.1 (2016). Journal paper

Conference presentations

  1. D. Pavlyshyn, A. Boyd, M. van der Valk, K. Lacombe, A. Rauch, J. S. Doyle, G. Matthews, M. Klein, A. Stewart, M. E. Hellard, L. Wittkop, R. Sacks-Davis. "Improving cirrhosis prediction with unbiased cohort pooling." Presented at "The 27th International Workshop on HIV and Hepatitis Observational Databases, Toledo, Spain (27-29 March 2025).

  1. D. Pavlyshyn, L. Wittkop, M. Prins., R Sacks-Davis. "Using external cohorts to improve prediction accuracy for models with missing outcome data." Presented at "The 26th International Workshop on HIV and Hepatitis Observational Databases, Vilamoura, Portugal (21-23 March 2024).

  1. D. Pavlyshyn and R. Sacks-Davis. "Predicting mutual injecting relationships using covariate and topological similarity indices." Presented at: Sunbelt 2023, Portland OR (27 June-1 July 2023).

  1. D. Pavlyshyn, M. Curtis, R. Sacks-Davis, N. Scott, M. A. Stoové, P. Higgs, L. Maher, M. Hickman, and P. Dietze. "Estimating the causal effect of public housing assignment on annual incarceration risk among people who inject drugs." Presented at" The 25th International Workshop on HIV and Hepatitis Observational Databases, Athens, Greece (23-25 March 2023).

Ph. D. thesis

D. Pavlyshyn. “Likelihood ratio testing in critically-spiked Wigner models.” Doctoral Dissertation, Stanford University (2022). Locally-hosted file

Software

  1. RandomMatrixDistributions.jl: A Julia package containing Distributions.jl-type specifications for various distributions arising from random matrix theory. Julia package

  1. halfsibdesign: An R package for fitting and simulating balanced random-effects models for half-sib breeding designs. R package

  1. tidyformula: An R package for using tidyselect-style selection helpers to build formula objects. R package

  1. StochasticAiry.jl: A Julia package for sampling the Stochatic Airy function as defined in Lambert & Paquette, "Strong approximation of Gaussian beta-ensemble characteristic polynomials: the edge regime and the stochastic Airy function," arXiv:2009.05003. Julia package

Last modified: July 15, 2025. Website built with Franklin.jl.