4 papers
A Framework for an Assessment of the Kernel-target Alignment in Tree Ensemble Kernel Learning
Dai Feng, Richard Baumgartner
Kernels ensuing from tree ensembles such as random forest (RF) or gradient boosted trees (GBT), when used for kernel learning, have been shown to be competitive to their respective…
A unified framework for weighted parametric group sequential design (WPGSD)
Keaven M. Anderson, Zifang Guo, Jing Zhao +1
Group sequential design (GSD) is widely used in clinical trials in which correlated tests of multiple hypotheses are used. Multiple primary objectives resulting in tests with known…
A Nonparametric Method for Value Function Guided Subgroup Identification via Gradient Tree Boosting for Censored Survival Data
Pingye Zhang, Junshui Ma, Xinqun Chen +1
In randomized clinical trials with survival outcome, there has been an increasing interest in subgroup identification based on baseline genomic, proteomic markers or clinical chara…
Survival Analysis Using a 5-Step Stratified Testing and Amalgamation Routine in Randomized Clinical Trials
Devan V. Mehrotra, Rachel Marceau West
Randomized clinical trials are often designed to assess whether a test treatment prolongs survival relative to a control treatment. Increased patient heterogeneity, while desirable…