Adaptive risk group refinement
Related Experiment Videos
Michael LeBlanc1, James Moon, John Crowley
1Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, M3-C102, Seattle, Washington 98109, USA. mleblanc@fhcrc.org
Abstract:
We construct interpretable prognostic rules based on a sequence of "box-shaped" regions in the predictor space indexed by the fraction of patients in the prognostic group. In addition, the method can be used as a building block to construct more general prognostic rules based on unions of boxes, or even as a tool to find multiple prognostic groups. Simulations are used to study the properties of the new method and compare it to constructing prognostic groups based on regression trees and linear proportional hazards (PH) models. We consider an example based on data from several completed clinical trials for patients with multiple myeloma.
Related Concept Videos
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Strategies for Assessing and Addressing Confounding
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Comparing the Survival Analysis of Two or More Groups
Hazard Ratio
For example, in a clinical trial evaluating a...