estimate_ICA_ContCont: Estimate ICA in Ordinal-Ordinal Setting

In Surrogate: Evaluation of Surrogate Endpoints in Clinical Trials

Estimate ICA in Ordinal-Ordinal Setting

Description

estimate_ICA_ContCont() estimates the individual causal association (ICA) for a sample of individual causal treatment effects with a continuous surrogate and true endpoint. The ICA in this setting is defined as the squared informational coefficient of correlation, which is a transformation of the mutual information. The mutual information is estimated with fnn::mutinfo().

Usage

estimate_ICA_ContCont(delta_S, delta_T)

Arguments

delta_S	(numeric) Vector of individual causal treatment effects on the surrogate.
delta_T	(numeric) Vector of individual causal treatment effects on the true endpoint.

Value

(numeric) Estimated ICA

Surrogate documentation built on April 11, 2025, 6:09 p.m.