Robust Alternatives to ANCOVA for Estimating the Treatment Effect via a Randomized Comparative Study von Jiang, Fei, Tian, Lu, Fu, Haoda, Hasegawa, Takahiro, Wei, L. J.

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Efficiency of Two Sample Tests via the Restricted Mean Survival Time for Analyzing Event Time Observations von Tian, Lu, Fu, Haoda, Ruberg, Stephen J., Uno, Hajime, Wei, Lee-Jen

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Detecting outlying trials in network meta-analysis von Zhang, Jing, Fu, Haoda, Carlin, Bradley P.

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Enabling Eating Detection in a Free-living Environment: Integrative Engineering and Machine Learning Study von Zhang, Bo, Deng, Kaiwen, Shen, Jie, Cai, Lingrui, Ratitch, Bohdana, Fu, Haoda, Guan, Yuanfang

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Evaluating and utilizing probability of study success in clinical development von Wang, Yanping, Fu, Haoda, Kulkarni, Pandurang, Kaiser, Christopher

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Predictors of Change in Adherence Status from 1 Year to the Next Among Patients with Type 2 Diabetes Mellitus on Oral Antidiabetes Drugs von Saundankar, Vishal, Peng, Xiaomei, Fu, Haoda, Ascher-Svanum, Haya, Rodriguez, Angel, Ali, Ayad, Slabaugh, Lane, Young, Peinie, Louder, Anthony

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Doubly robust estimation of the weighted average treatment effect for a target population von Tao, Yebin, Fu, Haoda

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Learning Optimal Personalized Treatment Rules in Consideration of Benefit and Risk: With an Application to Treating Type 2 Diabetes Patients With Insulin Therapies von Wang, Yuanjia, Fu, Haoda, Zeng, Donglin

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Multi-Armed Angle-Based Direct Learning for Estimating Optimal Individualized Treatment Rules With Various Outcomes von Qi, Zhengling, Liu, Dacheng, Fu, Haoda, Liu, Yufeng

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Optimal individualized treatment rule for combination treatments under budget constraints von Xu, Qi, Fu, Haoda, Qu, Annie

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Model-Assisted Uniformly Honest Inference for Optimal Treatment Regimes in High Dimension von Wu, Yunan, Wang, Lan, Fu, Haoda

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Controlling Cumulative Adverse Risk in Learning Optimal Dynamic Treatment Regimens von Liu, Mochuan, Wang, Yuanjia, Fu, Haoda, Zeng, Donglin

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Estimating individualized optimal combination therapies through outcome weighted deep learning algorithms von Liang, Muxuan, Ye, Ting, Fu, Haoda

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Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes With Censored Data von Xue, Fei, Zhang, Yanqing, Zhou, Wenzhuo, Fu, Haoda, Qu, Annie

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Query-Augmented Active Metric Learning von Deng, Yujia, Yuan, Yubai, Fu, Haoda, Qu, Annie

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Risk controlled decision trees and random forests for precision Medicine von Doubleday, Kevin, Zhou, Jin, Zhou, Hua, Fu, Haoda

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Estimate variable importance for recurrent event outcomes with an application to identify hypoglycemia risk factors von Duan, Ran, Fu, Haoda

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Bayesian indirect and mixed treatment comparisons across longitudinal time points von Ding, Ying, Fu, Haoda

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Estimating optimal treatment regimes via subgroup identification in randomized control trials and observational studies von Fu, Haoda, Zhou, Jin, Faries, Douglas E.

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Risk-aware restricted outcome learning for individualized treatment regimes of schizophrenia von Zhu, Shuying, Shen, Weining, Fu, Haoda, Qu, Annie

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