about
Subgroup analyses in confirmatory clinical trials: time to be specific about their purposesGreedy outcome weighted tree learning of optimal personalized treatment rules.Simple subgroup approximations to optimal treatment regimes from randomized clinical trial data.Identifying subgroups of enhanced predictive accuracy from longitudinal biomarker data using tree-based approaches: applications to fetal growth.Regularized outcome weighted subgroup identification for differential treatment effects.Subgroup identification from randomized clinical trial data.A Simple Method for Estimating Interactions between a Treatment and a Large Number of Covariates.The Use of Covariates and Random Effects in Evaluating Predictive Biomarkers Under a Potential Outcome Framework.Tree-based methods for individualized treatment regimes.A Bayesian approach to subgroup identification.A regression tree approach to identifying subgroups with differential treatment effectsEstimates of subgroup treatment effects in overall nonsignificant trials: To what extent should we believe in them?A comparative study of subgroup identification methods for differential treatment effect: Performance metrics and recommendations.Identification of predicted individual treatment effects in randomized clinical trials.Subgroup finding via Bayesian additive regression trees.A general statistical framework for subgroup identification and comparative treatment scoring.Patient subgroup identification for clinical drug development.Identification of subgroups with differential treatment effects for longitudinal and multiresponse variables.Subgroup identification based on differential effect search--a recursive partitioning method for establishing response to treatment in patient subpopulations.Qualitative interaction trees: a tool to identify qualitative treatment-subgroup interactions.The development of CHAMP: a checklist for the appraisal of moderators and predictors.Bayesian additive decision trees of biomarker by treatment interactions for predictive biomarker detection and subgroup identification.Comparing Four Methods for Estimating Tree-Based Treatment Regimes.
P2860
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P2860
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年学术文章
@wuu
2008年学术文章
@zh
2008年学术文章
@zh-cn
2008年学术文章
@zh-hans
2008年学术文章
@zh-my
2008年学术文章
@zh-sg
2008年學術文章
@yue
2008年學術文章
@zh-hant
name
Interaction trees with censored survival data.
@en
Interaction trees with censored survival data.
@nl
type
label
Interaction trees with censored survival data.
@en
Interaction trees with censored survival data.
@nl
prefLabel
Interaction trees with censored survival data.
@en
Interaction trees with censored survival data.
@nl
P2093
P2860
P356
P1476
Interaction trees with censored survival data.
@en
P2093
Juanjuan Fan
Tianni Zhou
Xiaogang Su
P2860
P304
P356
10.2202/1557-4679.1071
P577
2008-01-28T00:00:00Z