New Statistical Learning Methods for Estimating Optimal Dynamic Treatment Regimes von Zhao, Ying-Qi, Zeng, Donglin, Laber, Eric B., Kosorok, Michael R.

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Constructing dynamic treatment regimes with shared parameters for censored data von Zhao, Ying‐Qi, Zhu, Ruoqing, Chen, Guanhua, Zheng, Yingye

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Small area estimation and childhood obesity surveillance using electronic health records von Zhao, Ying-Qi, Norton, Derek, Hanrahan, Larry

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Improved Doubly Robust Estimation in Learning Optimal Individualized Treatment Rules von Pan, Yinghao, Zhao, Ying-Qi

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Constructing time‐invariant dynamic surveillance rules for optimal monitoring schedules von Dong, Xinyuan, Zheng, Yingye, Lin, Daniel W., Newcomb, Lisa, Zhao, Ying‐Qi

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Learning‐based biomarker‐assisted rules for optimized clinical benefit under a risk constraint von Wang, Yanqing, Zhao, Ying‐Qi, Zheng, Yingye

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Greedy Outcome Weighted Tree Learning of Optimal Personalized Treatment Rules von Zhu, Ruoqing, Zhao, Ying-Qi, Chen, Guanhua, Ma, Shuangge, Zhao, Hongyu

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Regularized outcome weighted subgroup identification for differential treatment effects von Xu, Yaoyao, Yu, Menggang, Zhao, Ying-Qi, Li, Quefeng, Wang, Sijian, Shao, Jun

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Designing precision medicine trials to yield a greater population impact von Zhao, Ying‐Qi, LeBlanc, Michael L.

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Restricted survival benefit with right‐censored data von Zhang, Shixiao, LeBlanc, Michael L., Zhao, Ying‐Qi

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Discussion of Kallus (2020) and Mo et al. (2020) von Liang, Muxuan, Zhao, Ying-Qi

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Reinforced Risk Prediction With Budget Constraint Using Irregularly Measured Data From Electronic Health Records von Pan, Yinghao, Laber, Eric B., Smith, Maureen A., Zhao, Ying-Qi

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Simultaneous spatial smoothing and outlier detection using penalized regression, with application to childhood obesity surveillance from electronic health records von Choi, Young‐Geun, Hanrahan, Lawrence P., Norton, Derek, Zhao, Ying‐Qi

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Quantifying treatment effects using the personalized chance of longer survival von Zhao, Ying‐Qi, Redman, Mary W., LeBlanc, Michael L.

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Corticosterone induced apoptosis of mouse oviduct epithelial cells independent of the TNF-α system von ZHAO, Ying-Qi, CHEN, Ren-Ren, KONG, Qiao-Qiao, AN, Jin-Song, ZHAO, Xin-Yue, GONG, Shuai, YUAN, Hong-Jie, TAN, Jing-He

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COLEC12 regulates apoptosis of osteosarcoma through Toll‐like receptor 4–activated inflammation von Li, Guang‐Zhang, Deng, Jian‐Feng, Qi, Ying‐Zhao, Liu, Ran, Liu, Zhi‐Xin

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Electronic Health Records and Community Health Surveillance of Childhood Obesity von Flood, Tracy L., MD, PhD, Zhao, Ying-Qi, PhD, Tomayko, Emily J., PhD, Tandias, Aman, MS, Carrel, Aaron L., MD, Hanrahan, Lawrence P., PhD, MS

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Using pilot data to size a two-arm randomized trial to find a nearly optimal personalized treatment strategy von Laber, Eric B., Zhao, Ying-Qi, Regh, Todd, Davidian, Marie, Tsiatis, Anastasios, Stanford, Joseph B., Zeng, Donglin, Song, Rui, Kosorok, Michael R.

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Efficient augmentation and relaxation learning for individualized treatment rules using observational data von Zhao, Ying-Qi, Laber, Eric B, Ning, Yang, Saha, Sumona, Sands, Bruce E

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Discussion of combining biomarkers to optimize patient treatment recommendations von Zhao, Ying‐Qi, Kosorok, Michael R

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