Dynamic treatment regimes: technical challenges and applications
about
Treatment decisions based on scalar and functional baseline covariates.Using pilot data to size a two-arm randomized trial to find a nearly optimal personalized treatment strategyMulti-Objective Markov Decision Processes for Data-Driven Decision SupportInteractive model building for Q-learning.Who will benefit from antidepressants in the acute treatment of bipolar depression? A reanalysis of the STEP-BD study by Sachs et al. 2007, using Q-learningTreatment Burden and Treatment Fatigue as Barriers to Health.Surrogate markers for time-varying treatments and outcomesIdentifying a set that contains the best dynamic treatment regimes.Q-learning residual analysis: application to the effectiveness of sequences of antipsychotic medications for patients with schizophreniaAdaptive Interventions in Child and Adolescent Mental HealthPrediction and tolerance intervals for dynamic treatment regimes.Optimizing delivery of a behavioral pain intervention in cancer patients using a sequential multiple assignment randomized trial SMART.An adaptive resampling test for detecting the presence of significant predictors.Interactive Q-learning for Quantiles.TARGETED SEQUENTIAL DESIGN FOR TARGETED LEARNING INFERENCE OF THE OPTIMAL TREATMENT RULE AND ITS MEAN REWARD.Tree based weighted learning for estimating individualized treatment rules with censored data.Statistical Analysis Plan for Stage 1 EMBARC (Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care) Study.LIBERTI: A SMART study in plastic surgery.Estimating long-term treatment effects in observational data: A comparison of the performance of different methods under real-world uncertainty.CommentComment
P2860
Q27314834-6CBB8924-C911-4BC7-BED8-32EABE575633Q31011938-F37B360F-EBDE-4AD6-8721-A12A4F0F847DQ31151283-007CD35B-3357-4F14-87DE-0362AD44D916Q34760298-F647CE76-7DE3-4A33-A8CE-94AF2ADB0762Q35252303-7333A1D4-E5CE-447B-9750-7B039E1B4E7CQ35734289-A824E8D3-8681-4C62-8EDC-23C8B6C749EFQ35862680-6E133DA7-1D9E-4A7E-99EE-05E4D8456A34Q36371569-33ECA6A5-A421-41B9-B9B6-C094A3F6CACBQ36858642-B60628ED-AD45-4135-A40A-1CA67E0900C1Q37059108-06F8BAC9-8405-4D14-AE4E-D96E0D93DA31Q38659522-F0323AD0-C50D-46BD-8CD3-772BE93F4E57Q38730575-306C4E1B-A797-4476-9A15-9E7B5CA7DEE3Q39854756-5F1E5EA4-CAF7-44A5-83DA-900AF0A2C2D0Q40048579-F4EBB03F-5183-458B-AAB4-CA077F2FBAABQ49338880-EA000E96-F20E-460F-8970-782B189D7612Q50061166-F67A5665-397E-493C-80E8-F12383743B2FQ52089873-7C5FF3EE-08EC-4DBB-AD4D-505FC797DD95Q53077180-8A930FC1-D179-4138-9D7C-973D4B280E10Q55220208-66C356B5-4B8D-4ECD-B7BF-916F5EB3ED9AQ57430582-02B6F371-811B-4684-8A95-AE2501A9500AQ57435138-A05C6B09-2A77-4152-97F3-D884909E7F3A
P2860
Dynamic treatment regimes: technical challenges and applications
description
2014 nî lūn-bûn
@nan
2014 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Dynamic treatment regimes: technical challenges and applications
@ast
Dynamic treatment regimes: technical challenges and applications
@en
Dynamic treatment regimes: technical challenges and applications
@nl
type
label
Dynamic treatment regimes: technical challenges and applications
@ast
Dynamic treatment regimes: technical challenges and applications
@en
Dynamic treatment regimes: technical challenges and applications
@nl
prefLabel
Dynamic treatment regimes: technical challenges and applications
@ast
Dynamic treatment regimes: technical challenges and applications
@en
Dynamic treatment regimes: technical challenges and applications
@nl
P2093
P2860
P356
P1476
Dynamic treatment regimes: technical challenges and applications
@en
P2093
Daniel J Lizotte
Eric B Laber
William E Pelham
P2860
P304
P356
10.1214/14-EJS920
P50
P577
2014-01-01T00:00:00Z