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Evaluation of the HeartSteps Online Sampling Algorithm
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2025
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Meng Xiang
Walter Dempsey
Peng Liao
Nick Reid
Pedja Klasnja
Susan A. Murphy
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BOTS: Batch Bayesian Optimization of Extended Thompson Sampling for
Severely Episode-Limited RL Settings
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2024
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Karine Karine
Susan A. Murphy
Benjamin M. Marlin
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Harnessing Causality in Reinforcement Learning With Bagged Decision
Times
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2024
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Daiqi Gao
Hsin-Yu Lai
Predrag Klasnja
Susan A. Murphy
|
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A Deployed Online Reinforcement Learning Algorithm In An Oral Health
Clinical Trial
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2024
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Anna L. Trella
Kelly Zhang
Hinal Jajal
Inbal Nahum‐Shani
Vivek Shetty
Finale Doshi‐Velez
Susan A. Murphy
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Effective Monitoring of Online Decision-Making Algorithms in Digital
Intervention Implementation
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2024
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Anna L. Trella
Susobhan Ghosh
Erin E. Bonar
Lara N. Coughlin
Finale Doshi‐Velez
Yongyi Guo
Pei-Yao Hung
Inbal Nahum‐Shani
Vivek Shetty
Maureen A. Walton
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MiWaves Reinforcement Learning Algorithm
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2024
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Susobhan Ghosh
Yongyi Guo
Pei-Yao Hung
Lara N. Coughlin
Erin E. Bonar
Inbal Nahum‐Shani
Maureen A. Walton
Susan A. Murphy
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ReBandit: Random Effects Based Online RL Algorithm for Reducing Cannabis Use
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2024
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Susobhan Ghosh
Yongyi Guo
Pei-Yao Hung
Lara N. Coughlin
Erin E. Bonar
Inbal Nahum‐Shani
Maureen A. Walton
Susan A. Murphy
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Replicable Bandits for Digital Health Interventions
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2024
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Kelly Zhang
Nowell Closser
Anna L. Trella
Susan A. Murphy
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Oralytics Reinforcement Learning Algorithm
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2024
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Anna L. Trella
Kelly Zhang
Stephanie M. Carpenter
David Elashoff
Zara M. Greer
Inbal Nahum‐Shani
Dennis Ruenger
Vivek Shetty
Susan A. Murphy
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Reinforcement Learning Interventions on Boundedly Rational Human Agents in Frictionful Tasks.
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2024
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Eura Nofshin
Siddharth Swaroop
Weiwei Pan
Susan A. Murphy
Finale Doshi‐Velez
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The Fallacy of Minimizing Local Regret in the Sequential Task Setting
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2024
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Ziping Xu
Kelly Zhang
Susan A. Murphy
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Towards Optimizing Human-Centric Objectives in AI-Assisted
Decision-Making With Offline Reinforcement Learning
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2024
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Zana Buçinca
Siddharth Swaroop
Amanda E. Paluch
Susan A. Murphy
Krzysztof Z. Gajos
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PDF
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reBandit: Random Effects based Online RL algorithm for Reducing Cannabis
Use
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2024
|
Susobhan Ghosh
Yongyi Guo
Pei-Yao Hung
Lara N. Coughlin
Erin E. Bonar
Inbal Nahum‐Shani
Maureen A. Walton
Susan A. Murphy
|
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PDF
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Monitoring Fidelity of Online Reinforcement Learning Algorithms in
Clinical Trials
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2024
|
Anna L. Trella
Kelly Zhang
Inbal Nahum‐Shani
Vivek Shetty
Iris Yan
Finale Doshi‐Velez
Susan A. Murphy
|
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PDF
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Non-Stationary Latent Auto-Regressive Bandits
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2024
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Anna L. Trella
Walter Dempsey
Finale Doshi‐Velez
Susan A. Murphy
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PDF
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Online Uniform Risk Times Sampling: First Approximation Algorithms,
Learning Augmentation with Full Confidence Interval Integration
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2024
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Xueqing Liu
Kyra Gan
Esmaeil Keyvanshokooh
Susan A. Murphy
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Improving Treatment Responses through Limited Nudges: A Data-Driven Learning and Optimization Approach
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2024
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Esmaeil Keyvanshokooh
Kyra Gan
Yongyi Guo
Xueqing Liu
Anna L. Trella
Susan A. Murphy
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The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning.
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2023
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Sarah Rathnam
Sonali Parbhoo
Weiwei Pan
Susan A. Murphy
Finale Doshi‐Velez
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PDF
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Reward Design for an Online Reinforcement Learning Algorithm Supporting Oral Self-Care
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2023
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Anna L. Trella
Kelly Zhang
Inbal Nahum‐Shani
Vivek Shetty
Finale Doshi‐Velez
Susan A. Murphy
|
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PDF
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Sample size considerations for micro‐randomized trials with binary proximal outcomes
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2023
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Eric R. Cohn
Tianchen Qian
Susan A. Murphy
|
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Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling
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2023
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Susobhan Ghosh
Raphael Kim
Prasidh Chhabria
Raaz Dwivedi
Predrag Klasjna
Peng Liao
Kelly Zhang
Susan A. Murphy
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Assessing the Impact of Context Inference Error and Partial Observability on RL Methods for Just-In-Time Adaptive Interventions
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2023
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Karine Karine
Predrag Klasnja
Susan A. Murphy
Benjamin M. Marlin
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Contextual Bandits with Budgeted Information Reveal
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2023
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Kyra Gan
Esmaeil Keyvanshokooh
Xueqing Liu
Susan A. Murphy
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Effect-Invariant Mechanisms for Policy Generalization
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2023
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Sorawit Saengkyongam
Niklas Pfister
Predrag Klasnja
Susan A. Murphy
Jonas Peters
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The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning
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2023
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Sarah Rathnam
Sonali Parbhoo
Weiwei Pan
Susan A. Murphy
Finale Doshi‐Velez
|
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Online learning in bandits with predicted context
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2023
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Yongyi Guo
Ziping Xu
Susan A. Murphy
|
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+
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Dyadic Reinforcement Learning
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2023
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Shuangning Li
Lluis Salvat Niell
Sung Won Choi
Inbal Nahum‐Shani
Guy Shani
Susan A. Murphy
|
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PDF
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Batch policy learning in average reward Markov decision processes
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2022
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Peng Liao
Zhengling Qi
Runzhe Wan
Predrag Klasnja
Susan A. Murphy
|
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PDF
Chat
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Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-Implementation Guidelines
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2022
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Anna L. Trella
Kelly Zhang
Inbal Nahum‐Shani
Vivek Shetty
Finale Doshi‐Velez
Susan A. Murphy
|
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Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-implementation Guidelines
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2022
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Anna L. Trella
Kelly Zhang
Inbal Nahum‐Shani
Vivek Shetty
Finale Doshi‐Velez
Susan A. Murphy
|
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Estimating causal effects with optimization-based methods: A review and empirical comparison
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2022
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Martin Cousineau
Vedat Verter
Susan A. Murphy
Joëlle Pineau
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The microrandomized trial for developing digital interventions: Experimental design and data analysis considerations.
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2022
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Tianchen Qian
Ashley Walton
Linda M. Collins
Predrag Klasnja
Stephanie T. Lanza
Inbal Nahum‐Shani
Mashfiqui Rabbi
Michael A. Russell
Maureen A. Walton
Hyesun Yoo
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Counterfactual inference for sequential experiments
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2022
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Raaz Dwivedi
Katherine Tian
Sabina Tomkins
Predrag Klasnja
Susan A. Murphy
Devavrat Shah
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Statistical Inference After Adaptive Sampling for Longitudinal Data
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2022
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Kelly W. Zhang
Lucas Janson
Susan A. Murphy
|
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Reward Design For An Online Reinforcement Learning Algorithm Supporting Oral Self-Care
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2022
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Anna L. Trella
Kelly Zhang
Inbal Nahum‐Shani
Vivek Shetty
Finale Doshi‐Velez
Susan A. Murphy
|
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+
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Doubly robust nearest neighbors in factor models
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2022
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Raaz Dwivedi
Katherine Tian
Sabina Tomkins
Predrag Klasnja
Susan A. Murphy
Devavrat Shah
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Modeling Mobile Health Users as Reinforcement Learning Agents
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2022
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Eura Shin
Siddharth Swaroop
Weiwei Pan
Susan A. Murphy
Finale Doshi‐Velez
|
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Statistical Inference with M-Estimators on Adaptively Collected Data.
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2021
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Kelly Zhang
Lucas Janson
Susan A. Murphy
|
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Rejoinder: ‘Estimating time-varying causal excursion effects in mobile health with binary outcomes’
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2021
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Tianchen Qian
Hyesun Yoo
Predrag Klasnja
Daniel Almirall
Susan A. Murphy
|
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Just-in-Time Adaptive Interventions for Suicide Prevention: Promise, Challenges, and Future Directions
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2021
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Daniel D.L. Coppersmith
Walter Dempsey
Evan M. Kleiman
Kate H. Bentley
Susan A. Murphy
Matthew K. Nock
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Statistical Inference with M-Estimators on Bandit Data.
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2021
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Kelly Zhang
Lucas Janson
Susan A. Murphy
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+
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Online structural kernel selection for mobile health
|
2021
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Eura Shin
Pedja Klasnja
Susan A. Murphy
Finale Doshi‐Velez
|
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+
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Comparison and Unification of Three Regularization Methods in Batch Reinforcement Learning
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2021
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Sarah Rathnam
Susan A. Murphy
Finale Doshi‐Velez
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Statistical Inference with M-Estimators on Adaptively Collected Data
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2021
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Kelly Zhang
Lucas Janson
Susan A. Murphy
|
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The Micro-Randomized Trial for Developing Digital Interventions: Experimental Design and Data Analysis Considerations
|
2021
|
Tianchen Qian
Ashley Walton
Linda M. Collins
Predrag Klasnja
Stephanie T. Lanza
Inbal Nahum‐Shani
Mashifiqui Rabbi
Michael A. Russell
Maureen A. Walton
Hyesun Yoo
|
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Off-Policy Estimation of Long-Term Average Outcomes With Applications to Mobile Health
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2020
|
Peng Liao
Predrag Klasnja
Susan A. Murphy
|
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Estimating time-varying causal excursion effects in mobile health with binary outcomes
|
2020
|
Tianchen Qian
Hyesun Yoo
Predrag Klasnja
Daniel Almirall
Susan A. Murphy
|
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+
PDF
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Linear Mixed Models with Endogenous Covariates: Modeling Sequential Treatment Effects with Application to a Mobile Health Study
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2020
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Tianchen Qian
Predrag Klasnja
Susan A. Murphy
|
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PDF
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Rejoinder: Linear Mixed Models with Endogenous Covariates: Modeling Sequential Treatment Effects with Application to a Mobile Health Study
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2020
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Tianchen Qian
Predrag Klasnja
Susan A. Murphy
|
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PDF
Chat
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The stratified micro-randomized trial design: Sample size considerations for testing nested causal effects of time-varying treatments
|
2020
|
Walter Dempsey
Peng Liao
Santosh Kumar
Susan A. Murphy
|
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The Micro-Randomized Trial for Developing Digital Interventions: Experimental Design Considerations.
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2020
|
Ashley Walton
Linda M. Collins
Predrag Klasnja
Inbal Nahum‐Shani
Mashfiqui Rabbi
Maureen A. Walton
Susan A. Murphy
|
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Rapidly Personalizing Mobile Health Treatment Policies with Limited Data.
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2020
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Sabina Tomkins
Peng Liao
Predrag Klasnja
Serena Yeung
Susan A. Murphy
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Streamlined Empirical Bayes Fitting of Linear Mixed Models in Mobile Health
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2020
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Marianne Menictas
Sabina Tomkins
Susan A. Murphy
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Translating Behavioral Theory into Technological Interventions: Case Study of an mHealth App to Increase Self-reporting of Substance-Use Related Data
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2020
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Mashfiqui Rabbi
Meredith L. Philyaw-Kotov
Jinseok Li
Katherine Li
Bess Rothman
Lexa Giragosian
Maya Reyes
Hannah Gadway
Rebecca M. Cunningham
Erin E. Bonar
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Power Constrained Bandits
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2020
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Jiayu Yao
Emma Brunskill
Weiwei Pan
Susan A. Murphy
Finale Doshi‐Velez
|
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The Micro-Randomized Trial for Developing Digital Interventions: Data Analysis Methods
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2020
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Tianchen Qian
Michael A. Russell
Linda M. Collins
Predrag Klasnja
Stephanie T. Lanza
Hyesun Yoo
Susan A. Murphy
|
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+
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Batch Policy Learning in Average Reward Markov Decision Processes
|
2020
|
Peng Liao
Zhengling Qi
Susan A. Murphy
|
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+
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Fast Physical Activity Suggestions: Efficient Hyperparameter Learning in Mobile Health
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2020
|
Marianne Menictas
Sabina Tomkins
Susan A. Murphy
|
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+
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Inference for Batched Bandits
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2020
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Kelly Zhang
Lucas Janson
Susan A. Murphy
|
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+
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IntelligentPooling: Practical Thompson Sampling for mHealth
|
2020
|
Sabina Tomkins
Peng Liao
Predrag Klasnja
Susan A. Murphy
|
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+
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The Micro-Randomized Trial for Developing Digital Interventions: Experimental Design Considerations
|
2020
|
Ashley Walton
Linda M. Collins
Predrag Klasnja
Inbal Nahum‐Shani
Mashfiqui Rabbi
Maureen A. Walton
Susan A. Murphy
|
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+
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Rapidly Personalizing Mobile Health Treatment Policies with Limited Data
|
2020
|
Sabina Tomkins
Peng Liao
Predrag Klasnja
Serena Yeung
Susan A. Murphy
|
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+
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Linear mixed models under endogeneity: modeling sequential treatment effects with application to a mobile health study
|
2019
|
Tianchen Qian
Predrag Klasnja
Susan A. Murphy
|
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+
PDF
Chat
|
Practical Considerations for Data Collection and Management in Mobile Health Micro-randomized Trials
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2019
|
Nicholas J. Seewald
Shawna N. Smith
Jin Seok Lee
Predrag Klasnja
Susan A. Murphy
|
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+
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Linear mixed models with endogenous covariates: modeling sequential treatment effects with application to a mobile health study
|
2019
|
Tianchen Qian
Predrag Klasnja
Susan A. Murphy
|
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+
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Estimating Time-Varying Causal Excursion Effect in Mobile Health with Binary Outcomes
|
2019
|
Tianchen Qian
Hyesun Yoo
Predrag Klasnja
Daniel Almirall
Susan A. Murphy
|
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Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity
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2019
|
Peng Liao
Kristjan Greenewald
Predrag Klasnja
Susan A. Murphy
|
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Off-Policy Estimation of Long-Term Average Outcomes with Applications to Mobile Health
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2019
|
Peng Liao
Predrag Klasnja
Susan A. Murphy
|
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+
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Personalizing Intervention Probabilities By Pooling.
|
2018
|
Sabina Tomkins
Predrag Klasnja
Susan A. Murphy
|
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+
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Personalizing Intervention Probabilities By Pooling
|
2018
|
Sabina Tomkins
Predrag Klasnja
Susan A. Murphy
|
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+
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Action Centered Contextual Bandits
|
2017
|
Kristjan Greenewald
Ambuj Tewari
Predrag Klasnja
Susan A. Murphy
|
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+
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The stratified micro-randomized trial design: sample size considerations for testing nested causal effects of time-varying treatments
|
2017
|
Walter Dempsey
Peng Liao
Santosh Kumar
Susan A. Murphy
|
|
+
PDF
Chat
|
Assessing Time-Varying Causal Effect Moderation in Mobile Health
|
2017
|
Audrey Boruvka
Daniel Almirall
Katie Witkiewitz
Susan A. Murphy
|
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PDF
Chat
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A multiple imputation strategy for sequential multiple assignment randomized trials
|
2017
|
Susan M. Shortreed
Eric B. Laber
T. Scott Stroup
Joëlle Pineau
Susan A. Murphy
|
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An Actor-Critic Contextual Bandit Algorithm for Personalized Mobile Health Interventions
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2017
|
Huitian Lei
Ambuj Tewari
Susan A. Murphy
|
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+
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Action Centered Contextual Bandits
|
2017
|
Kristjan Greenewald
Ambuj Tewari
Susan A. Murphy
Predrag Klasnja
|
|
+
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The stratified micro-randomized trial design: sample size considerations for testing nested causal effects of time-varying treatments
|
2017
|
Walter Dempsey
Peng Liao
Santosh Kumar
Susan A. Murphy
|
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+
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Assessing Time-Varying Causal Effect Moderation in Mobile Health
|
2016
|
Audrey Boruvka
Daniel Almirall
Katie Witkiewitz
Susan A. Murphy
|
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A Batch, Off-Policy, Actor-Critic Algorithm for Optimizing the Average Reward
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2016
|
Susan A. Murphy
Yanzhen Deng
Eric B. Laber
Hamid Reza Maei
Richard S. Sutton
Katie Witkiewitz
|
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+
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Assessing Time-Varying Causal Effect Moderation in Mobile Health
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2016
|
Audrey Boruvka
Daniel Almirall
Katie Witkiewitz
Susan A. Murphy
|
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+
PDF
Chat
|
Sample size calculations for micro‐randomized trials in mHealth
|
2015
|
Peng Liao
Predrag Klasnja
Ambuj Tewari
Susan A. Murphy
|
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+
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Chapter 11: Imputing missing data from sequential multiple assignment randomized trials
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2015
|
Susan M. Shortreed
Eric B. Laber
Joëlle Pineau
Susan A. Murphy
|
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PDF
Chat
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Comparing treatment policies with assistance from the structural nested mean model
|
2015
|
Xi Lu
Kevin G. Lynch
David W. Oslin
Susan A. Murphy
|
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+
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Micro-Randomized Trials in mHealth
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2015
|
Peng Liao
Predrag Klasnja
Ambuj Tewari
Susan A. Murphy
|
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+
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Learning Treatment Policies in Mobile Health in Mobile Health
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2015
|
Susan A. Murphy
|
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+
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Budgeted Learning for Developing Personalized Treatment
|
2014
|
Kun Deng
Russell Greiner
Susan A. Murphy
|
|
+
PDF
Chat
|
A multiple imputation strategy for sequential multiple assignment randomized trials
|
2014
|
Susan M. Shortreed
Eric B. Laber
T. Scott Stroup
Joëlle Pineau
Susan A. Murphy
|
|
+
PDF
Chat
|
A multiple imputation strategy for sequential multiple assignment randomized trials
|
2014
|
Susan M. Shortreed
Eric B. Laber
T. Scott Stroup
Joëlle Pineau
Susan A. Murphy
|
|
+
PDF
Chat
|
Dynamic treatment regimes: Technical challenges and applications
|
2014
|
Eric B. Laber
Daniel J. Lizotte
Min Qian
William E. Pelham
Susan A. Murphy
|
|
+
PDF
Chat
|
Rejoinder of “Dynamic treatment regimes: Technical challenges and applications”
|
2014
|
Eric B. Laber
Daniel J. Lizotte
Min Qian
William E. Pelham
Susan A. Murphy
|
|
+
PDF
Chat
|
Dynamic Treatment Regimes
|
2013
|
Bibhas Chakraborty
Susan A. Murphy
|
|
+
PDF
Chat
|
Time‐varying effect moderation using the structural nested mean model: estimation using inverse‐weighted regression with residuals
|
2013
|
Daniel Almirall
Beth Ann Griffin
Daniel F. McCaffrey
Rajeev Ramchand
Robert Yuen
Susan A. Murphy
|
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+
PDF
Chat
|
Linear Fitted-Q Iteration with Multiple Reward Functions
|
2013
|
Daniel J. Lizotte
Michael Bowling
Susan A. Murphy
|
|
+
PDF
Chat
|
Erratum to: Subgroups Analysis when Treatment and Moderators are Time-varying
|
2012
|
Daniel Almirall
Daniel F. McCaffrey
Rajeev Ramchand
Susan A. Murphy
|
|
+
PDF
Chat
|
The Prevention and Treatment of Missing Data in Clinical Trials
|
2012
|
Roderick J. A. Little
Ralph B. D’Agostino
Michael L. Cohen
Kay Dickersin
Scott S. Emerson
John T. Farrar
Constantine Frangakis
Joseph W. Hogan
Geert Molenberghs
Susan A. Murphy
|
|
+
PDF
Chat
|
SMARTer Discontinuation Trial Designs for Developing an Adaptive Treatment Strategy
|
2012
|
Daniel Almirall
Scott N. Compton
Moira A. Rynn
John T. Walkup
Susan A. Murphy
|
|
+
PDF
Chat
|
Experimental design and primary data analysis methods for comparing adaptive interventions.
|
2012
|
Inbal Nahum‐Shani
Min Qian
Daniel Almirall
William E. Pelham
Beth Gnagy
Gregory A. Fabiano
James G. Waxmonsky
Jihnhee Yu
Susan A. Murphy
|
|
+
PDF
Chat
|
Designing a pilot sequential multiple assignment randomized trial for developing an adaptive treatment strategy
|
2012
|
Daniel Almirall
Scott N. Compton
Meredith Gunlicks‐stoessel
Naihua Duan
Susan A. Murphy
|
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+
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Small Sample Inference for Generalization Error in Classification Using the CUD Bound
|
2012
|
Eric B. Laber
Susan A. Murphy
|
|
+
PDF
Chat
|
Comment
|
2012
|
Daniel Almirall
Daniel J. Lizotte
Susan A. Murphy
|
|
+
PDF
Chat
|
A "SMART" Design for Building Individualized Treatment Sequences
|
2012
|
Huitian Lei
Inbal Nahum‐Shani
Kevin G. Lynch
David W. Oslin
Susan A. Murphy
|
|
+
PDF
Chat
|
Designing a pilot sequential multiple assignment randomized trial for developing an adaptive treatment strategy
|
2012
|
Daniel Almirall
Scott N. Compton
Meredith Gunlicks‐Stoessel
Naihua Duan
Susan A. Murphy
|
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+
|
Active Learning for Developing Personalized Treatment
|
2012
|
Kun Deng
Joëlle Pineau
Susan A. Murphy
|
|
+
PDF
Chat
|
Q-learning: A data analysis method for constructing adaptive interventions.
|
2012
|
Inbal Nahum‐Shani
Min Qian
Daniel Almirall
William E. Pelham
Beth Gnagy
Gregory A. Fabiano
James G. Waxmonsky
Jihnhee Yu
Susan A. Murphy
|
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+
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Examining Moderated Effects of Additional Adolescent Substance Use Treatment: Structural Nested Mean Model Estimation Using Inverse-Weighted Regression with Residuals
|
2012
|
Daniel Almirall
Daniel F. McCaffrey
Beth Ann Griffin
Rajeev Ramchand
Robert Yuen
Susan A. Murphy
|
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+
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Dynamic Treatment Regimes
|
2012
|
Min Qian
Inbal Nahum‐Shani
Susan A. Murphy
|
|
+
|
Active Learning for Developing Personalized Treatment
|
2012
|
Kun Deng
Joëlle Pineau
Susan A. Murphy
|
|
+
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Examining moderated effects of additional adolescent substance use treatment: Structural nested mean model estimation using inverse-weighted regression-with-residuals
|
2012
|
Daniel Almirall
Daniel F. McCaffrey
Rajeev Ramchand
Susan A. Murphy
|
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Small Sample Inference for Generalization Error in Classification Using the CUD Bound
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2012
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Eric B. Laber
Susan A. Murphy
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Variable Selection for Qualitative Interactions in Personalized Medicine While Controlling the Family-Wise Error Rate
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2011
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Lacey Gunter
Ji Zhu
Susan A. Murphy
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Active learning for developing personalized treatment
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2011
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Kun Deng
Joëlle Pineau
Susan A. Murphy
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Sample size formulae for two-stage randomized trials with survival outcomes
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2011
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Z. Li
Susan A. Murphy
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PDF
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Estimation Monte Carlo sans modèle de politiques de décision
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2011
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Raphaël Fonteneau
Susan A. Murphy
Louis Wehenkel
Damien Ernst
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Active learning for personalizing treatment
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2011
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Kun Deng
Joëlle Pineau
Susan A. Murphy
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PDF
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Performance guarantees for individualized treatment rules
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2011
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Min Qian
Susan A. Murphy
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PDF
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Adaptive Confidence Intervals for the Test Error in Classification
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2011
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Eric B. Laber
Susan A. Murphy
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Subgroups Analysis when Treatment and Moderators are Time-varying
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2011
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Daniel Almirall
Daniel F. McCaffrey
Rajeev Ramchand
Susan A. Murphy
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Experimental designs for developing adaptive treatment strategies
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2011
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Daniel Almirall
Linda M. Collins
Susan A. Murphy
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Discussion of "Adaptive confidence intervals for the test error in classification"
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2011
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Yuhong Yang
Gang Cheng
Eric B. Laber
Susan A. Murphy
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Informing sequential clinical decision-making through reinforcement learning: an empirical study
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2010
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Susan M. Shortreed
Eric B. Laber
Daniel J. Lizotte
T. Scott Stroup
Joëlle Pineau
Susan A. Murphy
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Model-free Monte Carlo-like policy evaluation
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2010
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Raphaël Fonteneau
Susan A. Murphy
Louis Wehenkel
Damien Ernst
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Model-Free Monte Carlo-like Policy Evaluation
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2010
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Raphaël Fonteneau
Susan A. Murphy
Louis Wehenkel
Damien Ernst
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PDF
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Investigating the Impact of Selection Bias in Dose-Response Analyses of Preventive Interventions
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2010
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Herle M. McGowan
Robert L. Nix
Susan A. Murphy
Karen L. Bierman
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Statistical Inference in Dynamic Treatment Regimes
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2010
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Eric B. Laber
Min Qian
Dan J. Lizotte
William E. Pelham
Susan A. Murphy
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Maximum likelihood estimation of the structural nested mean model using SAS PROC NLP: With application to the study of time-varying moderators of the effect of weight change on quality of life
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2010
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Daniel Almirall
Cynthia J. Coffman
William S. Yancy
Susan A. Murphy
Douglas E. Faries
Robert L. Obenchain
Josep María Haro
Ángel León
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Time-varying causal effect moderation in the presence of time-varying confounding using structural nested mean models
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2010
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Daniel Almirall
Daniel F. McCaffrey
Beth Ann Griffin
Susan A. Murphy
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The Prevention and Treatment of Missing Data in Clinical Trials. Pannel on Handling Missing Data in Clinical Trials
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2010
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Roderick J. A. Little
Ralph B. D’Agostino
Kay Dickersin
Scott S. Emerson
John T. Farrar
Constantine Frangakis
Joseph W. Hogan
Geert Molenberghs
Susan A. Murphy
James D. Neaton
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Inference for non-regular parameters in optimal dynamic treatment regimes
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2009
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Bibhas Chakraborty
Susan A. Murphy
Victor J. Strecher
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Developing multicomponent interventions using fractional factorial designs
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2009
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Bibhas Chakraborty
Linda M. Collins
Victor J. Strecher
Susan A. Murphy
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PDF
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Variable selection for qualitative interactions
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2009
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Lacey Gunter
Ji Zhu
Susan A. Murphy
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PDF
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Structural Nested Mean Models for Assessing Time‐Varying Effect Moderation
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2009
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Daniel Almirall
Thomas Ten Have
Susan A. Murphy
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PDF
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Screening Experiments for Developing Dynamic Treatment Regimes
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2009
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Susan A. Murphy
Derek Bingham
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Dynamic Treatment Regimes using Reinforcement Learning: A Cautious Generalization Approach
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2009
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Raphaël Fonteneau
Susan A. Murphy
Louis Wehenkel
Damien Ernst
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PDF
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Discussions
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2007
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Yu Xie
Susan A. Murphy
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Variable Selection for Optimal Decision Making
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2007
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Lacey Gunter
Ji Zhu
Susan A. Murphy
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PDF
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The Multiphase Optimization Strategy (MOST) and the Sequential Multiple Assignment Randomized Trial (SMART)
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2007
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Linda M. Collins
Susan A. Murphy
Victor J. Strecher
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PDF
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Developing adaptive treatment strategies in substance abuse research
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2006
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Susan A. Murphy
Kevin G. Lynch
David W. Oslin
James R. McKay
Tom Tenhave
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Assessing the Total Effect of Time-Varying Predictors in Prevention Research
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2006
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Bethany C. Bray
Daniel Almirall
Rick S. Zimmerman
Donald R. Lynam
Susan A. Murphy
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Structural nested mean models for assessing time-varying effect moderation
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2006
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Daniel Almirall
Thomas Ten Have
Susan A. Murphy
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A comparison of randomized trials and the multi-phase optimization strategy for behavioral interventions
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2005
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Bibhas Chakraborty
Linda M. Collins
Susan A. Murphy
Vijay Nair
Victor J. Strecher
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An experimental design for the development of adaptive treatment strategies
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2004
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Susan A. Murphy
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4. Adjusting for Time-Varying Confounding in Survival Analysis
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2004
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Jennifer S. Barber
Susan A. Murphy
Natalya Verbitsky
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PDF
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A Conceptual Framework for Adaptive Preventive Interventions
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2004
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Linda M. Collins
Susan A. Murphy
Karen L. Bierman
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PDF
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Optimal Dynamic Treatment Regimes
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2003
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Susan A. Murphy
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PDF
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Marginal Mean Models for Dynamic Regimes
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2001
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Susan A. Murphy
Mark J. van der Laan
James M. Robins
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Semiparametric Mixtures in Case-Control Studies
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2001
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Susan A. Murphy
Aad van der Vaart
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On Profile Likelihood
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2000
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Susan A. Murphy
Aad van der Vaart
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On Profile Likelihood
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2000
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Susan A. Murphy
Aad van der Vaart
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Observed Information in Semi-Parametric Models
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1999
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Susan A. Murphy
Aad van der Vaart
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PDF
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Observed Information in Semiparametric Models
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1999
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Susan A. Murphy
Aad van der Vaart
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Drug Use Prevention Data, Missed Assessments and Survival Analysis
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1998
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Jennifer Bacik
Susan A. Murphy
James C. Anthony
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Multivariate Dependencies: Models, Analysis and Interpretation.
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1998
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Susan A. Murphy
D. R. Cox
N. Wermouth
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Maximum Likelihood Estimation in the Proportional Odds Model
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1997
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Susan A. Murphy
Anthony Rossini
Aad van der Vaart
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Semiparametric likelihood ratio inference
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1997
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Susan A. Murphy
Aad van der Vaart
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Determining the risk set for hazard functions when survival methods are applied to social science and prevention data
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1997
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L. A. Malacane
Susan A. Murphy
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Semiparametric Likelihood Ratio Inference
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1997
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Susan A. Murphy
Aad van der Vaart
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Likelihood Inference in the Errors-in-Variables Model
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1996
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Susan A. Murphy
Aad van der Vaart
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Likelihood Ratio-Based Confidence Intervals in Survival Analysis
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1995
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Susan A. Murphy
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Likelihood Ratio-Based Confidence Intervals in Survival Analysis
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1995
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Susan A. Murphy
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An analysis for menstrual data with time‐varying covariates
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1995
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Susan A. Murphy
Gillian R. Bentley
Mary Ann O’Hanesian
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Projected Partial Likelihood and Its Application to Longitudinal Data
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1995
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Susan A. Murphy
Bing Li
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The Theil-Sen Estimator with Doubly Censored Data and Applications to Astronomy
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1995
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Michael G. Akritas
Susan A. Murphy
Michael P. LaValley
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The Theil-Sen Estimator With Doubly Censored Data and Applications to Astronomy
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1995
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Michael G. Akritas
Susan A. Murphy
Michael P. LaValley
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PDF
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Asymptotic Theory for the Frailty Model
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1995
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Susan A. Murphy
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Projected partial likelihood and its application to longitudinal data
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1995
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Susan A. Murphy
Bing Li
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PDF
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Consistency in a Proportional Hazards Model Incorporating a Random Effect
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1994
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Susan A. Murphy
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Testing for a Time Dependent Coefficient in Cox's Regression Model
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1993
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Susan A. Murphy
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PDF
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Time-dependent coefficients in a Cox-type regression model
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1991
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Susan A. Murphy
Pranab K. Sen
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A statistical analysis for the mouse lymphoma cell forward mutation assay
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1988
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Susan A. Murphy
William J. Caspary
Barry H. Margolin
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