Analysis of randomized comparative clinical trial data for personalized treatment selections

From MaRDI portal
Publication:3303673

DOI10.1093/biostatistics/kxq060zbMath1437.62406OpenAlexW2153646525WikidataQ33704826 ScholiaQ33704826MaRDI QIDQ3303673

L. Tian, L. J. Wei, Peggy H. Wong, Tianxi Cai

Publication date: 4 August 2020

Published in: Biostatistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biostatistics/kxq060



Related Items

Investigation of age–treatment interaction in the SPACE trial using different statistical approaches, A tutorial on interaction, A Generalized Quantile Tree Method for Subgroup Identification, Nonlinear predictive directions in clinical trials, Quantile-Optimal Treatment Regimes, Subgroup analysis with a nonparametric unimodal symmetric error distribution, Multi-response based personalized treatment selection with data from crossover designs for multiple treatments, Estimation and Validation of Ratio-based Conditional Average Treatment Effects Using Observational Data, Estimation of Optimal Individualized Treatment Rules Using a Covariate-Specific Treatment Effect Curve With High-Dimensional Covariates, Statistical inference of heterogeneous treatment effect based on single-index model, Fairness-Oriented Learning for Optimal Individualized Treatment Rules, Addressing patient heterogeneity in disease predictive model development, Change-Plane Analysis for Subgroup Detection with a Continuous Treatment, A General Framework for Subgroup Detection via One-Step Value Difference Estimation, Stable Discovery of Interpretable Subgroups via Calibration in Causal Studies, Personalized treatment selection using observational data, Learning Optimal Personalized Treatment Rules in Consideration of Benefit and Risk: With an Application to Treating Type 2 Diabetes Patients With Insulin Therapies, A single-index model with multiple-links, Response transformation and profit decomposition for revenue uplift modeling, COMBINING ESTIMATES OF CONDITIONAL TREATMENT EFFECTS, Regression analysis of interval-censored failure time data with time-dependent covariates, An Algorithm for Generating Individualized Treatment Decision Trees and Random Forests



Cites Work