3 papers
stat.ME2025
Efficient Inference for Time-to-Event Outcomes by Integrating Right-Censored and Current Status Data
Xiudi Li, Sijia Li
We propose a semiparametric data fusion framework for efficient inference on survival probabilities by integrating right-censored and current status data. Existing data fusion meth…
stat.ME2025
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift
Chao Ying, Jun Jin, Yi Guo +3
Collecting gold-standard phenotype data via manual extraction is typically labor-intensive and slow, whereas automated computational phenotypes (ACPs) offer a systematic and much f…
stat.ME2025
Efficient Inference for Covariate-adjusted Bradley-Terry Model with Covariate Shift
Xiudi Li, Sijia Li
We propose a general framework for statistical inference on the overall strengths of players in pairwise comparisons, allowing for potential shifts in the covariate distribution. T…