3 papers
stat.ME2024
ipd: An R Package for Conducting Inference on Predicted Data
Stephen Salerno, Jiacheng Miao, Awan Afiaz +5
Summary: ipd is an open-source R software package for the downstream modeling of an outcome and its associated features where a potentially sizable portion of the outcome data has…
stat.ML2024
Task-Agnostic Machine-Learning-Assisted Inference
Jiacheng Miao, Qiongshi Lu
Machine learning (ML) is playing an increasingly important role in scientific research. In conjunction with classical statistical approaches, ML-assisted analytical strategies have…
stat.ME2023
Assumption-Lean and Data-Adaptive Post-Prediction Inference
Jiacheng Miao, Xinran Miao, Yixuan Wu +2
A primary challenge facing modern scientific research is the limited availability of gold-standard data which can be costly, labor-intensive, or invasive to obtain. With the rapid…