
Multistage optimal dynamic treatment regimes for survival outcomes with dependent censoring
We propose a reinforcement learning method for estimating an optimal dyn...
read it

Kernel Assisted Learning for Personalized Dose Finding
An individualized dose rule recommends a dose level within a continuous ...
read it

Missing Data Imputation for Classification Problems
Imputation of missing data is a common application in various classifica...
read it

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...
read it

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...
read it

Estimating heterogeneous treatment effects with rightcensored data via causal survival forests
There is fastgrowing literature on estimating heterogeneous treatment e...
read it

Interval censored recursive forests
We propose the interval censored recursive forests (ICRF) which is an it...
read it

High dimensional precision medicine from patientderived xenografts
The complexity of human cancer often results in significant heterogeneit...
read it

Testing Independence with the Binary Expansion Randomized Ensemble Test
Recently, the binary expansion testing framework was introduced to test ...
read it

Balanced Policy Evaluation and Learning for Right Censored Data
Individualized treatment rules can lead to better health outcomes when p...
read it

Sample Size Calculations for SMARTs
Sequential Multiple Assignment Randomized Trials (SMARTs) are considered...
read it

Genome analysis and pleiotropy assessment using causal networks with loss of function mutation and metabolomics
Background: Many genomewide association studies have detected genomic r...
read it

Efficient estimation of accelerated lifetime models under lengthbiased sampling
In prevalent cohort studies where subjects are recruited at a crosssect...
read it

Estimating Individualized Treatment Regimes from Crossover Designs
The field of precision medicine aims to tailor treatment based on patien...
read it

Receiver Operating Characteristic Curves and Confidence Bands for Support Vector Machines
Many problems that appear in biomedical decision making, such as diagnos...
read it

A proportional hazards model for intervalcensored data subject to instantaneous failures
The proportional hazards (PH) model is arguably one of the most popular ...
read it

A proportional hazards model for intervalcensored subject to instantaneous failures
The proportional hazards (PH) model is arguably one of the most popular ...
read it

Augmented Outcomeweighted Learning for Optimal Treatment Regimes
Precision medicine is of considerable interest in clinical, academic and...
read it

Estimation and Optimization of Composite Outcomes
There is tremendous interest in precision medicine as a means to improve...
read it

Causal nearest neighbor rules for optimal treatment regimes
The estimation of optimal treatment regimes is of considerable interest ...
read it

Estimating Dynamic Treatment Regimes in Mobile Health Using Vlearning
The vision for precision medicine is to use individual patient character...
read it

Biclustering Via Sparse Clustering
In many situations it is desirable to identify clusters that differ with...
read it

Support Vector Regression for Right Censored Data
We develop a unified approach for classification and regression support ...
read it
Michael R. Kosorok
is this you? claim profile