5 papers
Efficient and Debiased Learning of Average Hazard Under Non-Proportional Hazards
Xiang Meng, Lu Tian, Kenneth Kehl +1
The hazard ratio from the Cox proportional hazards model is a ubiquitous summary of treatment effect. However, when hazards are non-proportional, the hazard ratio can lose a stable…
A Honest Cross-Validation Estimator for Prediction Performance
Tianyu Pan, Vincent Z. Yu, Viswanath Devanarayan +1
Cross-validation is a standard tool for obtaining a honest assessment of the performance of a prediction model. The commonly used version repeatedly splits data, trains the predict…
Latent Noise Injection for Private and Statistically Aligned Synthetic Data Generation
Rex Shen, Lu Tian
Synthetic Data Generation has become essential for scalable, privacy-preserving statistical analysis. While standard approaches based on generative models, such as Normalizing Flow…
Conditional Inference for Secondary Outcomes Based on the Testing Result for the Primary Outcome in Clinical Trials
Tianyu Pan, Vivek Charu, Ying Lu +1
In clinical trials, inferences on clinical outcomes are often made conditional on specific selective processes. For instance, only when a treatment demonstrates a significant effec…
Using Principal Progression Rate to Quantify and Compare Disease Progression in Comparative Studies
Changyu Shen, Menglan Pang, Ling Zhu +1
In comparative studies of progressive diseases, such as randomized controlled trials (RCTs), the mean Change From Baseline (CFB) of a continuous outcome at a pre-specified follow-u…