Targeted estimation and inference for the sample average treatment effect in trials with and without pair-matching.
about
Adaptive pre-specification in randomized trials with and without pair-matching.Using a network-based approach and targeted maximum likelihood estimation to evaluate the effect of adding pre-exposure prophylaxis to an ongoing test-and-treat trial."All Generalizations Are Dangerous, Even This One."-Alexandre Dumas.TARGETED SEQUENTIAL DESIGN FOR TARGETED LEARNING INFERENCE OF THE OPTIMAL TREATMENT RULE AND ITS MEAN REWARD.Review of Recent Methodological Developments in Group-Randomized Trials: Part 2-Analysis.Effects of water quality, sanitation, handwashing, and nutritional interventions on child development in rural Kenya (WASH Benefits Kenya): a cluster-randomised controlled trial
P2860
Targeted estimation and inference for the sample average treatment effect in trials with and without pair-matching.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
Targeted estimation and infere ...... ith and without pair-matching.
@en
type
label
Targeted estimation and infere ...... ith and without pair-matching.
@en
prefLabel
Targeted estimation and infere ...... ith and without pair-matching.
@en
P2093
P2860
P356
P1476
Targeted estimation and infere ...... with and without pair-matching
@en
P2093
Mark J van der Laan
Maya L Petersen
SEARCH Collaboration
P2860
P304
P356
10.1002/SIM.6965
P407
P577
2016-04-18T00:00:00Z