Subgroup identification via homogeneity pursuit for dense longitudinal/spatial data
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Publication:6624695
DOI10.1002/sim.8192zbMATH Open1545.62414MaRDI QIDQ6624695
Unnamed Author, Wenyang Zhang, Mu Yue
Publication date: 28 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
personalized medicinebinary segmentationchange point detectionhomogeneity pursuitdense longitudinal datatreatment recommendation
Cites Work
- Unnamed Item
- Structure identification in panel data analysis
- Local intrinsic stationarity and its inference
- Bayesian empirical likelihood for quantile regression
- Multivariate varying coefficient model for functional responses
- Recursive partitioning and applications
- Subgroup inference for multiple treatments and multiple endpoints in an Alzheimer's disease treatment trial
- Pathwise coordinate optimization
- Personalized treatment for longitudinal data using unspecified random-effects model
- Multiscale and multilevel technique for consistent segmentation of nonstationary time series
- Averaged gene expressions for regression
- Gaussian Predictive Process Models for Large Spatial Data Sets
- Statistical Analysis of Diffusion Tensors in Diffusion-Weighted Magnetic Resonance Imaging Data
- Generalized Least Squares
- Semiparametric estimation of multivariate partially linear models
- A Simultaneous Confidence Band for Dense Longitudinal Regression
- Grouping Pursuit Through a Regularization Solution Surface
- Effective dimension reduction for sparse functional data
- Simultaneous Grouping Pursuit and Feature Selection Over an Undirected Graph
- A Bayesian credible subgroups approach to identifying patient subgroups with positive treatment effects
- Homogeneity Pursuit
- Unified inference for sparse and dense longitudinal models
- Simultaneous Regression Shrinkage, Variable Selection, and Supervised Clustering of Predictors with OSCAR
- Interaction trees with censored survival data
Related Items (6)
Heterogeneous quantile regression for longitudinal data with subgroup structures ⋮ Subgroup analysis for longitudinal data via semiparametric additive mixed effects model ⋮ Homogeneity and Structure Identification in Semiparametric Factor Models ⋮ Personalized treatment selection using data from crossover designs with carry-over effects ⋮ Multi-threshold proportional hazards model and subgroup identification ⋮ Fused mean structure learning in data integration with dependence
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