Subgroup Analysis
Click on a button corresponding to a subgroup analysis method. Refer to the table below for guidance.
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Process |
Choose this process for... |
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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. |
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Estimates treatment effects within clusters of subjects. You can use this process interactively to select the number of clusters and cumulatively compare results. |
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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. |
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Fits a model to counter-factual data to find a subgroup of rows with enhanced treatment effects |
See the The JMP Genomics Starter main page for other process categories.