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stat.ME2025
Cross-Balancing for Data-Informed Design and Efficient Analysis of Observational Studies
Ying Jin, José Zubizarreta
Causal inference starts with a simple idea: compare groups that differ by treatment, not much else. Traditionally, similar groups are constructed using only observed covariates; ho…
stat.ME2024
Dynamic Prediction of High-density Generalized Functional Data with Fast Generalized Functional Principal Component Analysis
Ying Jin, Andrew Leroux
Dynamic prediction, which typically refers to the prediction of future outcomes using historical records, is often of interest in biomedical research. For datasets with large sampl…
stat.ME2024
Comparing estimators of discriminative performance of time-to-event models
Ying Jin, Andrew Leroux
Predicting the timing and occurrence of events is a major focus of data science applications, especially in the context of biomedical research. Performance for models estimating th…