48 citations · 79 across the 15 of their papers we have counts for
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math.ST2021
Surrogate Assisted Semi-supervised Inference for High Dimensional Risk Prediction
Jue Hou, Zijian Guo, Tianxi Cai
Risk modeling with EHR data is challenging due to a lack of direct observations on the disease outcome, and the high dimensionality of the candidate predictors. In this paper, we d…
math.ST2021★ 1 cited
On the global identifiability of logistic regression models with misclassified outcomes
Rui Duan, Yang Ning, Jiasheng Shi +3
In the last decade, the secondary use of large data from health systems, such as electronic health records, has demonstrated great promise in advancing biomedical discoveries and i…
math.ST2012★ 48 cited
Nonconcave penalized composite conditional likelihood estimation of sparse Ising models
Lingzhou Xue, Hui Zou, Tianxi Cai
The Ising model is a useful tool for studying complex interactions within a system. The estimation of such a model, however, is rather challenging, especially in the presence of hi…