
Kernel Assisted Learning for Personalized Dose Finding
An individualized dose rule recommends a dose level within a continuous ...
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Missing Data Imputation for Classification Problems
Imputation of missing data is a common application in various classifica...
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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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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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Estimating heterogeneous treatment effects with rightcensored data via causal survival forests
There is fastgrowing literature on estimating heterogeneous treatment e...
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Interval censored recursive forests
We propose the interval censored recursive forests (ICRF) which is an it...
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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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Testing Independence with the Binary Expansion Randomized Ensemble Test
Recently, the binary expansion testing framework was introduced to test ...
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Balanced Policy Evaluation and Learning for Right Censored Data
Individualized treatment rules can lead to better health outcomes when p...
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Sample Size Calculations for SMARTs
Sequential Multiple Assignment Randomized Trials (SMARTs) are considered...
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Genome analysis and pleiotropy assessment using causal networks with loss of function mutation and metabolomics
Background: Many genomewide association studies have detected genomic r...
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Efficient estimation of accelerated lifetime models under lengthbiased sampling
In prevalent cohort studies where subjects are recruited at a crosssect...
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Estimating Individualized Treatment Regimes from Crossover Designs
The field of precision medicine aims to tailor treatment based on patien...
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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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A proportional hazards model for intervalcensored data subject to instantaneous failures
The proportional hazards (PH) model is arguably one of the most popular ...
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A proportional hazards model for intervalcensored subject to instantaneous failures
The proportional hazards (PH) model is arguably one of the most popular ...
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Augmented Outcomeweighted Learning for Optimal Treatment Regimes
Precision medicine is of considerable interest in clinical, academic and...
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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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Causal nearest neighbor rules for optimal treatment regimes
The estimation of optimal treatment regimes is of considerable interest ...
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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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Biclustering Via Sparse Clustering
In many situations it is desirable to identify clusters that differ with...
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Support Vector Regression for Right Censored Data
We develop a unified approach for classification and regression support ...
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Michael R. Kosorok
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