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Publications

Note: An underscored author name indicates our biostatistics student. Students or alumni who would like to advertise a recent submitted or published paper are welcome to use the following form.

2024

  • Bian, Y., Shi Y., Guo, H., Yi, G.Y., He, W., 2024. Physician effects in critical care: A causal inference approach through propensity weighting with parametric and super learning methods. Journal of Data Science. https://jds-online.org/journal/JDS/article/1376/info
  • Feng, S. X., & Mitani, A. A., 2024. Marginal clustered multistate models for longitudinal progressive processes with informative cluster size. Statistical Analysis and Data Mining: The ASA Data Science Journal, 17(2), e11668. https://doi.org/10.1002/sam.11668
  • Li, L., Jalal, H., Heath, A., 2024. A Nonparametric Approach for Estimating the Effective Sample Size in Gaussian Approximation of Expected Value of Sample Information. arXiv preprint arXiv:2401.16660
  • Li, L., Jalal, H., Heath, A., 2024. Estimating the EVSI with Gaussian Approximations and Spline-Based Series Methods. arXiv preprint arXiv:2401.17393
  • Bian, Y., Yi, G.Y., He, W., 2024. A unified framework of analyzing missing data and variable selection using regularized likelihood. Computational Statistics and Data Analysis, 194(6), Article 107919. https://doi.org/10.1016/j.csda.2024.107919

2023

  • Yang, M., Matan-Lithwick, S., Wang, Y., De Jager, P.L., Bennett, D.A., Felsky, D., 2023. Multi-omic integration via similarity network fusion to detect molecular subtypes of ageing. Brain Communications, Volume 5, Issue 2. https://doi.org/10.1093/braincomms/fcad110
  • Soltanifar, M., & Lee, C. H. (2023). SimSST: An R Statistical Software Package to Simulate Stop Signal Task Data. Mathematics, 11(3), 500.

2022

  • Li, L., Plint, A. and Heath, A., 2022. Generating High-Utility Synthetic Clinical Trial Data Using Non-Parametric Data-Augmented Multiple Imputation. Journal of the Royal Statistical Society: Series C (Under review)
  • Soltanifar, M., Escobar, M., Dupuis, A., Chevrier, A., & Schachar, R. (2022). The Asymmetric Laplace Gaussian (ALG) Distribution as the Descriptive Model for the Internal Proactive Inhibition in the Standard Stop Signal Task. Brain Sciences, 12(6), 730.
  • Soltanifar, M. (2022). A Look at the Primary Order Preserving Properties of Stochastic Orders: Theorems, Counterexamples and Applications in Cognitive Psychology. Mathematics, 10(22), 4362.

2021

  • Soltanifar, M., Escobar, M., Dupuis, A., & Schachar, R. (2021). A Bayesian Mixture Modelling of Stop Signal Reaction Time Distributions: The Second Contextual Solution for the Problem of Aftereffects of Inhibition on SSRT Estimations. Brain Sciences, 11(8), 1102.

2020

  • Soltanifar, M., Knight, K., Dupuis, A., Schachar, R., & Escobar, M. (2020). A Time Series-Based Point Estimation of Stop Signal Reaction Times: More Evidence on the Role of Reactive Inhibition-Proactive Inhibition Interplay on the SSRT Estimations. Brain Sciences, 10(9), 598.

2019

  • Soltanifar, M., Dupuis, A., Schachar, R., & Escobar, M. (2019). A frequentist mixture modeling of stop signal reaction times. Biostatistics & Epidemiology, 3(1).