119 citations · 603 across the 42 of their papers we have counts for
9 papers · 1 filter
High dimensional precision medicine from patient-derived xenografts
Naim U. Rashid, Daniel J. Luckett, Jingxiang Chen +8
The complexity of human cancer often results in significant heterogeneity in response to treatment. Precision medicine offers potential to improve patient outcomes by leveraging th…
Interval censored recursive forests
Hunyong Cho, Nicholas P. Jewell, Michael R. Kosorok
We propose the interval censored recursive forests (ICRF) which is an iterative tree ensemble method for interval censored survival data. This nonparametric regression estimator ma…
The Binary Expansion Randomized Ensemble Test (BERET)
Duyeol Lee, Kai Zhang, Michael R. Kosorok
Recently, the binary expansion testing framework was introduced to test the independence of two continuous random variables by utilizing symmetry statistics that are complete suffi…
Balanced Policy Evaluation and Learning for Right Censored Data
Owen E. Leete, Nathan Kallus, Michael G. Hudgens +2
Individualized treatment rules can lead to better health outcomes when patients have heterogeneous responses to treatment. Very few individualized treatment rule estimation methods…
Transcriptomic Causal Networks identified patterns of differential gene regulation in human brain from Schizophrenia cases versus controls
Akram Yazdani, Raul Mendez-Giraldez, Michael R Kosorok +1
Common and complex traits are the consequence of the interaction and regulation of multiple genes simultaneously, which work in a coordinated way. However, the vast majority of stu…
Sample Size Calculations for SMARTs
Eric J. Rose, Eric B. Laber, Marie Davidian +3
Sequential Multiple Assignment Randomized Trials (SMARTs) are considered the gold standard for estimation and evaluation of treatment regimes. SMARTs are typically sized to ensure…