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07/24/2023
Stochastic Step-wise Feature Selection for Exponential Random Graph Models (ERGMs)
Statistical analysis of social networks provides valuable insights into ...
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07/22/2023
A Flexible Framework for Incorporating Patient Preferences Into Q-Learning
In real-world healthcare problems, there are often multiple competing ou...
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05/15/2023
A Causal Inference Framework for Leveraging External Controls in Hybrid Trials
We consider the challenges associated with causal inference in settings ...
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04/25/2023
Functional Individualized Treatment Regimes with Imaging Features
Precision medicine seeks to discover an optimal personalized treatment p...
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01/31/2023
Revisiting Bellman Errors for Offline Model Selection
Offline model selection (OMS), that is, choosing the best policy from a ...
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12/01/2022
Dynamic treatment regime characterization via value function surrogate with an application to partial compliance
Precision medicine is a promising framework for generating evidence to i...
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10/07/2022
Efficient and Robust Approaches for Analysis of SMARTs: Illustration using the ADAPT-R Trial
Personalized intervention strategies, in particular those that modify tr...
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09/18/2022
Offline Reinforcement Learning with Instrumental Variables in Confounded Markov Decision Processes
We study the offline reinforcement learning (RL) in the face of unmeasur...
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07/26/2022
Risk-Adjusted Incidence Modeling on Hierarchical Survival Data with Recurrent Events
There is a constant need for many healthcare programs to timely address ...
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06/14/2022
Neural interval-censored Cox regression with feature selection
The classical Cox model emerged in 1972 promoting breakthroughs in how p...
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06/13/2022
Inference for change-plane regression
We establish the asymptotic behavior of change-plane estimators. Two typ...
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04/26/2022
Discussion of Multiscale Fisher's Independence Test for Multivariate Dependence
The multiscale Fisher's independence test (MULTIFIT hereafter) proposed ...
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12/07/2021
Stabilized Direct Learning for Efficient Estimation of Individualized Treatment Rules
In recent years, the field of precision medicine has seen many advanceme...
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12/06/2020
Multi-stage optimal dynamic treatment regimes for survival outcomes with dependent censoring
We propose a reinforcement learning method for estimating an optimal dyn...
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07/19/2020
Kernel Assisted Learning for Personalized Dose Finding
An individualized dose rule recommends a dose level within a continuous ...
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02/25/2020
Missing Data Imputation for Classification Problems
Imputation of missing data is a common application in various classifica...
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01/27/2020
Technical Background for "A Precision Medicine Approach to Develop and Internally Validate Optimal Exercise and Weight Loss Treatments for Overweight and Obese Adults with Knee
A precision medicine (PM) pipeline was developed to determine the optima...
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01/27/2020
A Precision Medicine Approach to Develop and Internally Validate Optimal Exercise and Weight Loss Treatments for Overweight and Obese Adults with Knee Osteoarthritis
We proposed a precision medicine approach to determine the optimal treat...
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01/27/2020
Estimating heterogeneous treatment effects with right-censored data via causal survival forests
There is fast-growing literature on estimating heterogeneous treatment e...
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12/20/2019
Interval censored recursive forests
We propose the interval censored recursive forests (ICRF) which is an it...
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12/13/2019
High dimensional precision medicine from patient-derived xenografts
The complexity of human cancer often results in significant heterogeneit...
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12/08/2019
Testing Independence with the Binary Expansion Randomized Ensemble Test
Recently, the binary expansion testing framework was introduced to test ...
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11/13/2019
Balanced Policy Evaluation and Learning for Right Censored Data
Individualized treatment rules can lead to better health outcomes when p...
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06/16/2019
Sample Size Calculations for SMARTs
Sequential Multiple Assignment Randomized Trials (SMARTs) are considered...
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04/29/2019
Genome analysis and pleiotropy assessment using causal networks with loss of function mutation and metabolomics
Background: Many genome-wide association studies have detected genomic r...
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04/04/2019
Efficient estimation of accelerated lifetime models under length-biased sampling
In prevalent cohort studies where subjects are recruited at a cross-sect...
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02/05/2019
Estimating Individualized Treatment Regimes from Crossover Designs
The field of precision medicine aims to tailor treatment based on patien...
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07/17/2018
Receiver Operating Characteristic Curves and Confidence Bands for Support Vector Machines
Many problems that appear in biomedical decision making, such as diagnos...
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03/31/2018
A proportional hazards model for interval-censored data subject to instantaneous failures
The proportional hazards (PH) model is arguably one of the most popular ...
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03/31/2018
A proportional hazards model for interval-censored subject to instantaneous failures
The proportional hazards (PH) model is arguably one of the most popular ...
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11/29/2017
Augmented Outcome-weighted Learning for Optimal Treatment Regimes
Precision medicine is of considerable interest in clinical, academic and...
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11/28/2017
Estimation and Optimization of Composite Outcomes
There is tremendous interest in precision medicine as a means to improve...
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11/22/2017
Causal nearest neighbor rules for optimal treatment regimes
The estimation of optimal treatment regimes is of considerable interest ...
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11/10/2016
Estimating Dynamic Treatment Regimes in Mobile Health Using V-learning
The vision for precision medicine is to use individual patient character...
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07/11/2014
Biclustering Via Sparse Clustering
In many situations it is desirable to identify clusters that differ with...
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02/23/2012