Xinran Miao 苗欣然

Papers (see also Google Scholar)

* = equal contributions

SLOPE and designing robust studies for generalization.Under Review

Miao, X., Zhao, J., Kang, H. (2025+)

Transfer learning between U.S. presidential elections: how should we learn from a 2020 ad campaign to inform 2024 ad campaigns?Under Revision

Miao, X., Zhao, J., Kang, H. (2025+)

Assumption-lean and data-adaptive post-prediction inference.JMLR

Miao, J.*, Miao, X.*, Wu, Y., Zhao, J., and Lu, Q. (2025). Journal of Machine Learning Research.

multimedia: multimodal mediation analysis of microbiome data.Microbiology Spectrum

Jiang, H.*, Miao, X.*, Thairu, M., Beebe, M., Grupe, D., Davidson, R.J., Handelsman, J., Sankaran, K. (2025). Microbiology Spectrum, 13(2), e01131-24.

Valid inference for machine learning-assisted GWAS.Nature Genetics

Miao, J., Wu, Y., Sun, Z., Miao, X., Lu, T., Zhao, J., and Lu, Q. (2024). Nature Genetics, 56(11), 2361–2369.

Sample size formula for general win ratio analysis.Biometrics

Mao, L., Kim, K., and Miao, X. (2022). Biometrics, 78(3), 1257–1268.

Interactive visualization and representation analysis applied to glacier segmentation.ISPRS Int'l J Geo-Information

Zheng, M., Miao, X., and Sankaran, K. (2022). ISPRS International Journal of Geo-Information, 11(8), 415.

Multicenter reproducibility of liver iron quantification with 1.5-T and 3.0-T MRI.Radiology

Hernando, D., Zhao, R., Yuan, Q., Aliyari Ghasabeh, M., Ruschke, S., Miao, X., Karampinos, D.C., Mao, L., Harris, D.T., Mattison, R.J., Jeng, M.R., Pedrosa, I., Kamel, I.R., Vasanawala, S., Yokoo, T., and Reeder, S.B. (2022). Radiology.