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stat.ME2026
Debiased Machine Learning for Count Data: a Partially Linear Poisson Model Based on Neural Networks
Ningkun Zhou, Bryan E. Shepherd, Qingyan Xiang
We develop a novel debiased machine learning (DML) estimator to analyze count data, which are common in clinical or biomedical studies. Specifically, we estimate the effect of a bi…
stat.ME2024
Estimating treatment effects from observational data under truncation by death using survival-incorporated quantiles
Qingyan Xiang, Paola Sebastiani, Thomas Perls +4
The issue of "truncation by death" commonly arises in clinical research: subjects may die before their follow-up assessment, resulting in undefined clinical outcomes. To address th…