Xinran Miao 苗欣然

Publications and Preprints

Under review or revision
  1. Transfer learning between U.S. presidential elections: how should we learn from a 2020 ad campaign to inform 2024 ad campaigns? [Preprint]
    Miao, X., Zhao, J., Kang, H., 2024. Submitted
  2. multimedia: Multimodal Mediation Analysis of Microbiome Data. [Preprint]
    Jiang, H.*, Miao, X.*, Thairu, M., Beebe, M., Grupe, D., Davidson, R.J., Handelsman, J., Sankaran, K., 2024+. Submitted
  3. Assumption-lean and Data-adaptive Post-Prediction Inference. [Preprint]
    Miao, J., Miao, X., Wu, Y., Zhao, J., and Lu, Q, 2024+. Submitted

    4. Published or accepted

  4. Valid inference for machine learning-assisted GWAS. [Journal]
    Miao, J., Wu, Y., Sun, Z., Miao, X., Lu, T., Zhao, J., and Lu, Q., 2024.Nature Genetics, 56(11), 2361-2369.
  5. Sample size formula for general win ratio analysis. [Journal]
    Mao, L., Kim, K. and Miao, X., 2022.Biometrics, 78(3), pp.1257-1268.
  6. Interactive visualization and representation analysis applied to glacier segmentation. [Journal]
    Zheng, M., Miao, X. and Sankaran, K., 2022. ISPRS International Journal of Geo-Information, 11(8), p.415.
  7. Multicenter reproducibility of liver iron quantification with 1.5-T and 3.0-T MRI. [Journal]
    Hernando, D., Zhao, R., Yuan, Q., Aliyari Ghasabeh, M., Ruschke, S., Miao, X., Karampinos, D.C., Mao, L., Harris, D.T., Mattison, R.J. and Jeng, M.R., Pedrosa, I., Kamel, I.R., Vasanawala, S., Yokoo, T. and Reeder, S.B., 2022. Radiology, p.213256.
* Co-first authors

Presentations

  1. Transfer Learning Between U.S. Presidential Elections: How Should We Learn From A 2020 Ad Campaign To Inform 2024 Ad Campaigns?
    August, 2025, Joint Statistical Meetings, Nashvile, Tennessee
  2. Transfer Learning Between U.S. Presidential Elections: How Should We Learn From A 2020 Ad Campaign To Inform 2024 Ad Campaigns? [slides]
    February 14, 2025, Models, Experiments, and Data Workshop (MEAD), Madison, Wisconsin
  3. Transportability Index: A Scalar Summary of Transportation Robustness. [slides]
    August 6, 2024. Joint Statistical Meetings, Portland, Oregon
  4. Transfer Learning Between U.S. Presidential Elections. [slides] [poster]
    May 15, 2024. American Causal Inference Conference (ACIC) , Seattle, Washington
  5. Transfer Learning Between U.S. Elections.
    April 29, 2024. UW-Madison Statistics Graduate Association Seminar, Madison, WI
  6. Transportability Index: A Scalar Summary of Transportation Robustness.
    March 13, 2024. ENAR 2024, Baltimore