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Alternatives to Hazard Ratios for Comparing the Efficacy or Safety of Therapies in Noninferiority Studies

Annals of internal medicine, 2015-07, Vol.163 (2), p.127-134

2015

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Interpretability of Cancer Clinical Trial Results Using Restricted Mean Survival Time as an Alternative to the Hazard Ratio

JAMA oncology, 2017-12, Vol.3 (12), p.1692

2017

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Robust Alternatives to ANCOVA for Estimating the Treatment Effect via a Randomized Comparative Study

Journal of the American Statistical Association, 2019-10, Vol.114 (528), p.1854-1864

2019

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Efficiency of Two Sample Tests via the Restricted Mean Survival Time for Analyzing Event Time Observations

Biometrics, 2018-06, Vol.74 (2), p.694-702

2018

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Detecting outlying trials in network meta-analysis

Statistics in medicine, 2015-08, Vol.34 (19), p.2695-2707

2015

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Enabling Eating Detection in a Free-living Environment: Integrative Engineering and Machine Learning Study

Journal of medical Internet research, 2022-03, Vol.24 (3), p.e27934-e27934

2022

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Evaluating and utilizing probability of study success in clinical development

Clinical trials (London, England), 2013-06, Vol.10 (3), p.407-413

2013

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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

Journal of managed care & specialty pharmacy, 2016-05, Vol.22 (5), p.467-482

2016

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Doubly robust estimation of the weighted average treatment effect for a target population

Statistics in medicine, 2019-02, Vol.38 (3), p.315-325

2019

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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

Journal of the American Statistical Association, 2018-01, Vol.113 (521), p.1-13

2018

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A randomized, cross-over comparison of preference between two reusable insulin pen devices in pen-naïve adults with diabetes

Current medical research and opinion, 2013-05, Vol.29 (5), p.465-473

2013

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Optimal individualized treatment rule for combination treatments under budget constraints

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2024-07, Vol.86 (3), p.714-741

2024

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Multi-Armed Angle-Based Direct Learning for Estimating Optimal Individualized Treatment Rules With Various Outcomes

Journal of the American Statistical Association, 2020-04, Vol.115 (530), p.678-691

2020

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Model-Assisted Uniformly Honest Inference for Optimal Treatment Regimes in High Dimension

Journal of the American Statistical Association, 2023-01, Vol.118 (541), p.305-314

2023

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Estimating individualized optimal combination therapies through outcome weighted deep learning algorithms

Statistics in medicine, 2018-11, Vol.37 (27), p.3869-3886

2018

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Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes With Censored Data

Journal of the American Statistical Association, 2022-09, Vol.117 (539), p.1438-1451

2022

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Query-Augmented Active Metric Learning

Journal of the American Statistical Association, 2023-07, Vol.118 (543), p.1862-1875

2023

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Controlling Cumulative Adverse Risk in Learning Optimal Dynamic Treatment Regimens

Journal of the American Statistical Association, 2023-12, p.1-12

2023

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High-Dimensional Cost-constrained Regression Via Nonconvex Optimization

Technometrics, 2022-01, Vol.64 (1), p.52-64

2022

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Estimate variable importance for recurrent event outcomes with an application to identify hypoglycemia risk factors

Statistics in medicine, 2015-08, Vol.34 (19), p.2743-2754

2015

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Risk controlled decision trees and random forests for precision Medicine

Statistics in medicine, 2022-02, Vol.41 (4), p.719-735

2022

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Bayesian indirect and mixed treatment comparisons across longitudinal time points

Statistics in medicine, 2013-07, Vol.32 (15), p.2613-2628

2013

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Deep Neural Networks Guided Ensemble Learning for Point Estimation

Statistics in biopharmaceutical research, 2024-04, Vol.16 (2), p.270-278

2024

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Risk-aware restricted outcome learning for individualized treatment regimes of schizophrenia

The annals of applied statistics, 2024-06, Vol.18 (2)

2024

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Estimating optimal treatment regimes via subgroup identification in randomized control trials and observational studies

Statistics in medicine, 2016-08, Vol.35 (19), p.3285-3302

2016

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Alternatives to Hazard Ratios for Comparing the Efficacy or Safety of Therapies in Noninferiority Studies

Interpretability of Cancer Clinical Trial Results Using Restricted Mean Survival Time as an Alternative to the Hazard Ratio

Robust Alternatives to ANCOVA for Estimating the Treatment Effect via a Randomized Comparative Study

Efficiency of Two Sample Tests via the Restricted Mean Survival Time for Analyzing Event Time Observations

Detecting outlying trials in network meta-analysis

Enabling Eating Detection in a Free-living Environment: Integrative Engineering and Machine Learning Study

Evaluating and utilizing probability of study success in clinical development

Predictors of Change in Adherence Status from 1 Year to the Next Among Patients with Type 2 Diabetes Mellitus on Oral Antidiabetes Drugs

Doubly robust estimation of the weighted average treatment effect for a target population

Learning Optimal Personalized Treatment Rules in Consideration of Benefit and Risk: With an Application to Treating Type 2 Diabetes Patients With Insulin Therapies

A randomized, cross-over comparison of preference between two reusable insulin pen devices in pen-naïve adults with diabetes

Optimal individualized treatment rule for combination treatments under budget constraints

Multi-Armed Angle-Based Direct Learning for Estimating Optimal Individualized Treatment Rules With Various Outcomes

Model-Assisted Uniformly Honest Inference for Optimal Treatment Regimes in High Dimension

Estimating individualized optimal combination therapies through outcome weighted deep learning algorithms

Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes With Censored Data

Query-Augmented Active Metric Learning

Controlling Cumulative Adverse Risk in Learning Optimal Dynamic Treatment Regimens

High-Dimensional Cost-constrained Regression Via Nonconvex Optimization

Estimate variable importance for recurrent event outcomes with an application to identify hypoglycemia risk factors

Risk controlled decision trees and random forests for precision Medicine

Bayesian indirect and mixed treatment comparisons across longitudinal time points

Deep Neural Networks Guided Ensemble Learning for Point Estimation

Risk-aware restricted outcome learning for individualized treatment regimes of schizophrenia

Estimating optimal treatment regimes via subgroup identification in randomized control trials and observational studies

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