
A spatiotemporal recommendation engine for malaria control
Malaria is an infectious disease affecting a large population across the...
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High dimensional precision medicine from patientderived xenografts
The complexity of human cancer often results in significant heterogeneit...
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Sample Size Calculations for SMARTs
Sequential Multiple Assignment Randomized Trials (SMARTs) are considered...
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Global forensic geolocation with deep neural networks
An important problem in forensic analyses is identifying the provenance ...
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Note on Thompson sampling for large decision problems
There is increasing interest in using streaming data to inform decision ...
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Efficient augmentation and relaxation learning for individualized treatment rules using observational data
Individualized treatment rules aim to identify if, when, which, and to w...
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Generalization error for decision problems
In this entry we review the generalization error for classification and ...
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Hierarchical Continuous Time Hidden Markov Model, with Application in ZeroInflated Accelerometer Data
Wearable devices including accelerometers are increasingly being used to...
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Thompson Sampling for PursuitEvasion Problems
Pursuitevasion is a multiagent sequential decision problem wherein a g...
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Bayesian Nonparametric Policy Search with Application to Periodontal Recall Intervals
Tooth loss from periodontal disease is a major public health burden in t...
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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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Estimation and Optimization of Composite Outcomes
There is tremendous interest in precision medicine as a means to improve...
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Sufficient Markov Decision Processes with Alternating Deep Neural Networks
Advances in mobile computing technologies have made it possible to monit...
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Estimating Dynamic Treatment Regimes in Mobile Health Using Vlearning
The vision for precision medicine is to use individual patient character...
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Setvalued dynamic treatment regimes for competing outcomes
Dynamic treatment regimes operationalize the clinical decision process a...
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Q and ALearning Methods for Estimating Optimal Dynamic Treatment Regimes
In clinical practice, physicians make a series of treatment decisions ov...
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Eric B. Laber
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