Personalized treatment selection via the covariate-specific treatment effect curve for longitudinal data

DOI10.1080/24754269.2020.1762059OpenAlexW3025097297MaRDI QIDQ5880090

Yanghui Liu, Ri-quan Zhang, Xiuzhen Zhang, Shujie Ma

Publication date: 7 March 2023

Published in: Statistical Theory and Related Fields (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/24754269.2020.1762059

zbMATH Keywords

longitudinal datasemiparametric modelpersonalized medicinetreatment selection

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Random-Effects Models for Longitudinal Data
• Estimation for the single-index models with random effects
• The EFM approach for single-index models
• Generalized partially linear mixed-effects models incorporating mismeasured covariates
• Estimation for a marginal generalized single-index longitudinal model
• Simultaneous confidence band and hypothesis test in generalised varying-coefficient models
• Doubly Robust Estimates for Binary Longitudinal Data Analysis with Missing Response and Missing Covariates
• Generalized Partially Linear Single-Index Models
• Approximate Inference in Generalized Linear Mixed Models
• CSTE curve for selection of the optimal treatment when outcome is binary
• Generalised partial linear single-index mixed models for repeated measures data
• Nonparametric Regression Methods for Longitudinal Data Analysis
• Patterns of treatment effects in subsets of patients in clinical trials

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