JMP Clinical Starter | Subgroup Analysis

Subgroup Analysis
Click on a button corresponding to a subgroup analysis method. Refer to the table below for guidance.
Finds a subgroup of rows with a differentiated treatment effect by testing interactions of predictor variables with a treatment variable, splitting on the best interaction effect, and keeping only the best branch of the tree after each split.
Fits a model to counter-factual data to find a subgroup of rows with enhanced treatment effects
Fitting both a response regression model and a propensity score logistic model to the input data set and computing a contrast response that can be modeled or used directly to assign optimal treatment.
See the JMP Clinical Starter main page for other process categories.