A regression tree approach to identifying subgroups with differential treatment effects
about
Subgroup analyses in confirmatory clinical trials: time to be specific about their purposesTutorial in biostatistics: data-driven subgroup identification and analysis in clinical trials.Identifying subgroups of enhanced predictive accuracy from longitudinal biomarker data using tree-based approaches: applications to fetal growth.An analysis of moderators in the COMBINE study: Identifying subgroups of patients who benefit from acamprosate.A modified classification tree method for personalized medicine decisionsGeneral guidance on exploratory and confirmatory subgroup analysis in late-stage clinical trials.A comparative study of subgroup identification methods for differential treatment effect: Performance metrics and recommendations.A general statistical framework for subgroup identification and comparative treatment scoring.Identification of subgroups with differential treatment effects for longitudinal and multiresponse variables.SDT: A Tree Method for Detecting Patient Subgroups with Personalized Risk Factors.Treatment evaluation for a data-driven subgroup in adaptive enrichment designs of clinical trials.Multiplicity issues in exploratory subgroup analysis.Individual treatment effect prediction for amyotrophic lateral sclerosis patients.Development of predictive signatures for treatment selection in precision medicine with survival outcomes.A recursive partitioning approach for subgroup identification in individual patient data meta-analysis.Enhancement of the adaptive signature design for learning and confirming in a single pivotal trial.Bayesian additive decision trees of biomarker by treatment interactions for predictive biomarker detection and subgroup identification.Thou Shalt Not Bear False Witness Against Null Hypothesis Significance Testing
P2860
Q28067390-224D3606-528B-46FC-B601-538AE3CFA099Q31119441-EB55A0A9-FC0F-4E6B-BE0D-0B9852238C6CQ31166413-D7FFA377-4D27-4C32-A8CD-330CC90D301DQ36145548-97CBEF58-A5D0-4FB5-A97C-D3F5C1124DD2Q36449319-8AE3F2DC-4BFA-4529-832D-C9B23E3B5A90Q38586261-2DA452C8-C85F-4A5A-8A56-A975C822D360Q38718889-84DEAA09-DC10-4C87-A3D9-B05891A76AB2Q38955394-98189FBC-1C1B-4179-9937-F61B2F8D0C78Q39653333-0DB42718-789C-498D-95E7-5404D1DBF59AQ41246339-5154FB7B-230E-4CCA-988F-532D5FA20F6FQ41930177-BDD6F36E-9AD6-43F8-B3C1-3FC4B6FE72B0Q45943632-671A396F-C497-40ED-9032-250842954A94Q47213485-B2CCC240-4E8B-4F83-8234-0DEC397D63FCQ47568882-ABBEB90E-0BB4-4D24-B890-8783EAFB1E49Q48136300-26664973-877C-430D-BC7E-46E935075F4AQ48187708-5CD37858-2DA2-46A8-9D94-95EAD21754B5Q48209026-8E7EA2C2-2890-448A-9125-EFD18F5F1BB2Q56142177-A3150613-DEB1-448E-92B5-3CF05B5AF94E
P2860
A regression tree approach to identifying subgroups with differential treatment effects
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
A regression tree approach to identifying subgroups with differential treatment effects
@en
type
label
A regression tree approach to identifying subgroups with differential treatment effects
@en
prefLabel
A regression tree approach to identifying subgroups with differential treatment effects
@en
P2860
P356
P1476
A regression tree approach to identifying subgroups with differential treatment effects
@en
P2093
Michael Man
Wei-Yin Loh
P2860
P304
P356
10.1002/SIM.6454
P407
P50
P577
2015-02-05T00:00:00Z