16 citations · 72 across the 18 of their papers we have counts for
Showing 2019Show all
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stat.AP2019
Posterior Contraction Rate of Sparse Latent Feature Models with Application to Proteomics
Tong Li, Tianjian Zhou, Kam-Wah Tsui +2
The Indian buffet process (IBP) and phylogenetic Indian buffet process (pIBP) can be used as prior models to infer latent features in a data set. The theoretical properties of thes…
stat.AP2019★ 13 cited
PoD-TPI: Probability-of-Decision Toxicity Probability Interval Design to Accelerate Phase I Trials
Tianjian Zhou, Wentian Guo, Yuan Ji
Cohort-based enrollment can slow down dose-finding trials since the outcomes of the previous cohort must be fully evaluated before the next cohort can be enrolled. This results in…
stat.ME2019
The i3+3 Design for Phase I Clinical Trials
Meizi Liu, Sue-Jane Wang, Yuan Ji
Purpose: The 3+3 design has been shown to be less likely to achieve the objectives of phase I dose-finding trials when compared with more advanced model-based designs. One major cr…