Zobrazeno 1 - 10 of 4 207 pro vyhledávání: '"Jeong, Jong In"'
1
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A pseudo-outcome-based framework to analyze treatment heterogeneity in survival data using electronic health records
Autor: Bo, Na, Jeong, Jong-Hyeon, Forno, Erick, Ding, Ying
An important aspect of precision medicine focuses on characterizing diverse responses to treatment due to unique patient characteristics, also known as heterogeneous treatment effects (HTE), and identifying beneficial subgroups with enhanced treatmen
Externí odkaz: http://arxiv.org/abs/2407.01565
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2
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Mediation Analysis using Semi-parametric Shape-Restricted Regression with Applications
Autor: Yin, Qing, Jeong, Jong-Hyeon, Qin, Xu, Peddada, Shyamal D, Adibi, Jennifer
Often linear regression is used to perform mediation analysis. However, in many instances, the underlying relationships may not be linear, as in the case of placental-fetal hormones and fetal development. Although, the exact functional form of the re
Externí odkaz: http://arxiv.org/abs/2310.09185
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4
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Causal Inference on Win Ratio for Observational Data with Dependent Subjects
Autor: Zhang, Di, Wisniewski, Stephen R., Jeong, Jong-Hyeon
Composite endpoints are commonly used with an anticipation that clinically relevant endpoints as a whole would yield meaningful treatment benefits. The win ratio is a rank-based statistic to summarize composite endpoints, allowing prioritizing the im
Externí odkaz: http://arxiv.org/abs/2212.06676
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7
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Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis
Autor: Pearce, Tim, Jeong, Jong-Hyeon, Jia, Yichen, Zhu, Jun
Publikováno v: NeurIPS 2022
This paper considers doing quantile regression on censored data using neural networks (NNs). This adds to the survival analysis toolkit by allowing direct prediction of the target variable, along with a distribution-free characterisation of uncertain
Externí odkaz: http://arxiv.org/abs/2205.13496
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