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Author

Xinlian Zhang

2 papers indexed here

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Review Open access Sep 2026

Evaluating Clustering and Imputation Approaches for Multivariate Longitudinal Clinical Data Using a Real-World eCDF-Copula Resampling Framework

The rapid growth of technologies such as wearable devices and high-throughput sequencing has generated unprecedented volumes of longitudinal data, often with multiple correlated features. This trend highlights the need for robust clustering methods tailored to multi-feature longitudinal datasets. Although previous revi...

Han-Chang Cai, Ke Xu, S. Osmundson et al. · 0 citations
Open access Aug 2026

Synthetic Longitudinal Tabular Data Generation via Copula

Synthetic data generation is increasingly used to enable data sharing and secondary analysis while protecting participant privacy, particularly for longitudinal tabular health data, where repeated measures per subject create within-subject dependence that most synthetic data methods are not designed to preserve. Existi...

Hanchang Cai, Wen-Shan Yu, Rui-Jin Lu et al. · 0 citations

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