3 papers
stat.ME2020
Borrowing from Supplemental Sources to Estimate Causal Effects from a Primary Data Source
Jeffrey A. Boatman, David M. Vock, Joseph S. Koopmeiners
The increasing multiplicity of data sources offers exciting possibilities in estimating the effects of a treatment, intervention, or exposure, particularly if observational and exp…
stat.ME2019
Assessing effect heterogeneity of a randomized treatment using conditional inference trees
Ashwini Venkatasubramaniam, Brandon Koch, Lauren Erickson +3
Treatment effect heterogeneity occurs when individual characteristics influence the effect of a treatment. We propose a novel approach that combines prognostic score matching and c…
physics.med-ph2019
Cohort-based T-SSIM Visual Computing for Radiation Therapy Prediction and Exploration
A. Wentzel, P. Hanula, T. Luciani +6
We describe a visual computing approach to radiation therapy (RT) planning, based on spatial similarity within a patient cohort. In radiotherapy for head and neck cancer treatment,…