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Estimation and inference on high-dimensional individualized treatment rule in observational data using split-and-pooled de-correlated score
With the increasing adoption of electronic health records, there is an i...
07/08/2020 ∙ by Muxuan Liang, et al. ∙
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Near-optimal Individualized Treatment Recommendations
Individualized treatment recommendation (ITR) is an important analytic f...
04/06/2020 ∙ by Haomiao Meng, et al. ∙
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Sample Size Calculations for SMARTs
Sequential Multiple Assignment Randomized Trials (SMARTs) are considered...
06/16/2019 ∙ by Eric J. Rose, et al. ∙
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Efficient augmentation and relaxation learning for individualized treatment rules using observational data
Individualized treatment rules aim to identify if, when, which, and to w...
01/03/2019 ∙ by Ying-Qi Zhao, et al. ∙
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Constructing Stabilized Dynamic Treatment Regimes
We propose a new method termed stabilized O-learning for deriving stabil...
08/03/2018 ∙ by Ying-Qi Zhao, et al. ∙
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Penalty-based spatial smoothing and outlier detection for childhood obesity surveillance from electronic health records
Childhood obesity is associated with increased morbidity and mortality i...
04/15/2018 ∙ by Young-Geun Choi, et al. ∙
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