Publications

Home  /  Data  /  Software  /  Misc  /  Github  /  E-mail   /  Twitter

Selected papers are below. For a full list of papers, please see Google Scholar.

Machine learning (ML)-assisted statistical inference

Machine learning is making predictions with uncertainty. How to make statistically rigorous scientific discovery with these "black-box" predictions?

- Valid Inference for Machine Learning-Assisted GWAS.
Miao J., Wu Y., Sun Z., Miao X., Lu T., Zhao J., Lu Q. (2024).
Submitted
[Preprint] [Software] [Summary]

- Assumption-Lean and Data-Adaptive Post-Prediction Inference.
Miao J.*, Miao X.*, Wu Y., Zhao J., Lu Q. (2023).
Submitted
[Preprint] [Software]


Heterogeneous treatment effect, gene-environment interactions, and genetic modifier

- Reimagining Gene-Environment Interaction Analysis for Human Complex Traits
Miao J., Song G., Wu Y., Hu J., Wu Y., Basu S., Andrews J., Schaumberg K., Fletcher J., Schmitz L., Lu Q. (2022).
Submitted
[Preprint] [Software: PIGEON] [Summary]

- A Quantile Integral Linear Model to Quantify Genetic Effects on Phenotypic Variability.
Miao J., Lin Y., Wu Y., Zheng B., Schmitz L., Fletcher J., Lu Q. (2022).
PNAS
[Journal] [Preprint] [Software: QUAIL] [Summary]


Generalizability and fairness of genetically-informed risk prediction across diverse contexts

- Quantifying Portable Genetic Effects and Improving Cross-Ancestry Genetic Prediction with GWAS Summary Statistics.
Miao J.*, Guo H.*, Song G., Zhao Z., Hou L., Lu Q. (2023).
Nature Communications
[Journal] [Preprint] [Software: X-Wing] [Summary]