Individualized inference through fusion learning
From MaRDI portal
Publication:6601097
DOI10.1002/wics.1498zbMATH Open1544.62015MaRDI QIDQ6601097
Unnamed Author, Rong Chen, Min-ge Xie
Publication date: 10 September 2024
Published in: Wiley Interdisciplinary Reviews. WIREs Computational Statistics (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Performance guarantees for individualized treatment rules
- Sensitive and sturdy \(p\)-values
- Choice of neighbor order in nearest-neighbor classification
- On weighting of bivariate margins in pairwise likelihood
- Pairwise likelihood inference for ordinal categorical time series
- Combining information from independent sources through confidence distributions
- Incorporating external information in analyses of clinical trials with binary outcomes
- A practical illustration of the importance of realistic individualized treatment rules in causal inference
- Classification based on a permanental process with cyclic approximation
- A split-and-conquer approach for analysis of
- Confidence, Likelihood, Probability
- Estimating Individualized Treatment Rules Using Outcome Weighted Learning
- Exact Meta-Analysis Approach for Discrete Data and its Application to 2 × 2 Tables With Rare Events
- iFusion: Individualized Fusion Learning
- Confidence Distributions and a Unifying Framework for Meta-Analysis
- Meta‐analysis framework for exact inferences with application to the analysis of rare events
- Multivariate Meta-Analysis of Heterogeneous Studies Using Only Summary Statistics: Efficiency and Robustness
- Data integration with high dimensionality
- Common risk factors in the returns on stocks and bonds
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