Transfer Learning of Individualized Treatment Rules from Experimental to Real-World Data

Learning from Data Some Real World Considerations

Statistical learning of origin-specific statically optimal individualized treatment rules.

Consider a longitudinal observational or controlled study in which one collects chronological data over time on a random sample of subjects. The time-dependent process one observes on each subject contains time-dependent covariates, time-dependent treatment actions, and an outcome process or single final outcome of interest. A statically optimal individualized treatment rule (as introduced in v...

Learning body shape models from real-world data

Learning body shape models from real-world data Brett Allen Co-Chairs of Supervisory Committee: Associate Professor Brian Curless Department of Computer Science and Engineering Associate Professor Zoran Popović Department of Computer Science and Engineering Creating realistic human characters is one of the most challenging topics in computer graphics, due to the subtleties of human motion and a...

Individualized treatment rules: generating candidate clinical trials.

Individualized treatment rules, or rules for altering treatments over time in response to changes in individual covariates, are of primary importance in the practice of clinical medicine. Several statistical methods aim to estimate the rule, termed an optimal dynamic treatment regime, which will result in the best expected outcome in a population. In this article, we discuss estimation of an al...

Performance Guarantees for Individualized Treatment Rules.

Because many illnesses show heterogeneous response to treatment, there is increasing interest in individualizing treatment to patients [11]. An individualized treatment rule is a decision rule that recommends treatment according to patient characteristics. We consider the use of clinical trial data in the construction of an individualized treatment rule leading to highest mean response. This is...