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20142026
most citedEstimation and model selection in generalized additive partial linear models for correlated data with diverging number of covariates

67 citations · 111 across the 41 of their papers we have counts for

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Showing 2023 · stat.MEShow all

5 papers · 2 filters

stat.ME2023★ 1 cited

Individualized Dynamic Latent Factor Model for Multi-resolutional Data with Application to Mobile Health

Jiuchen Zhang, Fei Xue, Qi Xu +2

Mobile health has emerged as a major success for tracking individual health status, due to the popularity and power of smartphones and wearable devices. This has also brought great…

stat.ME2023

Multi-Label Residual Weighted Learning for Individualized Combination Treatment Rule

Qi Xu, Xiaoke Cao, Geping Chen +3

Individualized treatment rules (ITRs) have been widely applied in many fields such as precision medicine and personalized marketing. Beyond the extensive studies on ITR for binary…

stat.ME2023★ 1 cited

Optimal Individualized Treatment Rule for Combination Treatments Under Budget Constraints

Qi Xu, Haoda Fu, Annie Qu

The individualized treatment rule (ITR), which recommends an optimal treatment based on individual characteristics, has drawn considerable interest from many areas such as precisio…

stat.ME2023★ 2 cited

De-confounding causal inference using latent multiple-mediator pathways

Yubai Yuan, Annie Qu

Causal effect estimation from observational data is one of the essential problems in causal inference. However, most estimation methods rely on the strong assumption that all confo…

stat.ME2023

Crowdsourcing Utilizing Subgroup Structure of Latent Factor Modeling

Qi Xu, Yubai Yuan, Junhui Wang +1

Crowdsourcing has emerged as an alternative solution for collecting large scale labels. However, the majority of recruited workers are not domain experts, so their contributed labe…