Yang Han

Yang Han

Senior Lecturer in Statistics

The University of Manchester

About

I am a Senior Lecturer (equivalent to Associate Professor in the North American system) in the Department of Mathematics at the University of Manchester. I joined the University of Manchester as a Lecturer (Assistant Professor) in Statistics in September 2017.

Interests
  • Simultaneous inference
  • Multiple comparisons
  • Personalized medicine
  • Bioequivalence study
Education
  • PhD in Statistics, 2014

    University of Southampton, UK

Publications

  • Wang, L., Han, Y., Liu, W. and Bretz, F. (2024). Minimum area confidence set optimality for simultaneous confidence bands for percentiles in linear regression. arXiv

  • Han, Y., Wang, L., Liu, W. and Bretz, F. (2024). Multiple-use calibration for all future values and exact two-sided simultaneous tolerance intervals in linear regression. Journal of Computational and Graphical Statistics. Accepted.

  • Peng, C., Luo, R., Han, Y. and Pan, J. (2024). Joint mean-angle model for spatial binary data. Statistica Sinica. Accepted.

  • Han. Y., Sun, Y., Wang, L., Liu, W. and Bretz, F. (2023). Statistical calibration for infinite many future values in linear regression: simultaneous or pointwise tolerance intervals or what else? Journal of the Royal Statistical Society: Series C. 72(1), 37-47.

  • Bridgen, J., Wei, H., Whitfield, C., Han, Y., Hall, I., Jewell, J., van Tongeren, M. and Read, R. (2023). Contact patterns of UK home delivery drivers and their use of protective measures during the COVID-19 pandemic: a cross-sectional study. Occupational and Environmental Medicine. 80, 333-338.

  • Whitfield, C., Van Tongeren, M., Han, Y. et al. (2023). Modelling the impact of non-pharmaceutical interventions on workplace transmission of SARS-CoV-2 in the home-delivery sector. PLoS ONE. 18(5): e0284805.

  • Ding, J., Li, J., Han, Y., McKeague, I. and Wang, X. (2022). Fitting additive risk models using auxiliary information. Statistics in Medicine. 42(6), 894-916.

  • Liu, W., Bretz, F., Boehning, D., Holt, R., Han, Y. et al. (2022). Combined statistical decision limits based on two GH-2000 scores for the detection of growth hormone misuse. Statistical Methods in Medical Research. 42(6), 894-916.

  • Wei, H., Daniels, S., Whitfield, C., Han, Y. et al. (2022). Agility and sustainability: A qualitative evaluation of COVID-19 Non-pharmaceutical Interventions (NPIs) in the UK logistics sector. MedRxiv

  • Sun, Z., Wang, Z., Liu, P., Qin, Z., Chen, Y., Han, Y., Wang, P. and Bauer, P. (2022). An online data driven fault diagnosis and thermal runaway early warning for electric vehicle batteries. IEEE Transactions on Power Electronics.

  • Sun, Z., Han, Y. et al. (2022). Detection of voltage fault in the battery system of electric vehicles using statistical analysis. Applied Energy. 307, 118172

  • Han, Y., Sun, Y., Hsu, J., House, T., Gent, N. and Hall, I. (2021) Statistical design and analysis of diagnostic tests for mutating viruses. MedRxiv

  • Daniels, S., Wei, H., Han, Y., Catt, H., Denning, D., Hall, I., Regan, M., Verma, A., Whitfield, C. and van Tongeren, M. (2021). Risk factors associated with respiratory infectious disease-related presenteeism: a rapid review. BMC Public Health. 21, 1955.

  • Han. Y., Tang. S., Lin. H. and Hsu, J. (2020). Exact Simultaneous Confidence Intervals for Logical Selection of a Biomarker Cut-point. Biometrical Journal. 64(2), 272-289.

  • Delgado, J., Bowman, K. Ble, A., Masoli, J., Han, Y. et al. (2018). Blood pressure trajectories in the 20 years before death: repeat clinical measures in 46,634 individuals. Journal of the American Medical Association Internal Medicine. 178(1):93-99.

  • Savage, A. S., Butler, C. R., Milton, F., Han, Y. and Zeman, Z. A. (2017). On the nose: olfactory disturbances in Transient Epileptic Amnesia. Epilepsy & Behavior. 66, 113-119.

  • Han, Y., Liu, W., Bretz, F. and Wan, F. (2016). Statistical calibration and exact one-sided simultaneous tolerance intervals for polynomial regression. Journal of Statistical Planning and Inference. 168, 90-96.

  • Liu, W., Han. Y., Bretz, F. and Wan, F. (2016). Counting by weighing: know your numbers with confidence. Journal of the Royal Statistical Society: Series C. 65(4), 641-648.

  • Liu, W., Han. Y., Wan. F, Bretz, F. and Hayter, A. J. (2016). Simultaneous confidence tubes in multivariate linear regression. Scandinavian Journal of Statistics. 43(3), 879-885.

  • Wan, F., Liu, W., Bretz, F. and Han, Y. (2016). Confidence sets for optimal factor levels of a response surface. Biometrics. 72(4), 1285-1293.

  • Han, Y., Liu, W., Bretz, F. and Wan, F. (2015). Simultaneous confidence bands for a percentile line in linear regression. Computational Statistics and Data Analysis. 81, 1-9.

  • Wan, F., Liu, W., Han, Y. and Bretz, F. (2015). Confidence set for a maximum point of a univariate polynomial regression function in a given interval. Technometrics. 57(4), 59-565.

  • Liu, W., Hsu, J. C., Bretz, F., Hayter, A. J. and Han, Y. (2014). Shelf-life and its estimation in drug stability studies. Journal of Applied Statistics. 41, 1989-2000.

Teaching

  • Fellow of the Higher Education Academy
  • Distinguished Achievement Medal for Teacher of the Year 2019 at the University of Manchester
  • Course leader of Statistical Inference
  • Course leader of Regression Analysis

Students

I welcome PhD applicants who are interested in statistical methodology and its applications. PhD funding is available! Please feel free to email me if you would like to learn more about our research.

  • Y. Sun (2018 - 2022)
    Thesis title: Assessment of confirmability in clinical trials and individualised medicine development using statistical tolerance regions

  • P. Zheng (2018 - 2022, co-supervisor: Prof Jianxin Pan)
    Thesis title: Bayesian estimation of sparse precision matrices for high-dimensional data

  • X. Pang (2019 - 2023, co-supervisors: Prof Ian Hall and Prof Thomas House)
    Thesis title: Pandemic severity assessment and prediction of time – varying transmission changes

Contact

  • yang.han@manchester.ac.uk
  • +44 (0) 161 275 5806
  • Oxford Road, Manchester, M13 9PL
  • Alan Turing Building – Room 2.113