estimate_ICA_OrdOrd {Surrogate} | R Documentation |
Estimate ICA in Ordinal-Ordinal Setting
Description
estimate_ICA_OrdOrd()
estimates the individual causal association (ICA) for
a sample of individual causal treatment effects with an ordinal surrogate and
true endpoint. The ICA in this setting is defined as follows:
R^2_H =
\frac{I(\Delta S; \Delta T)}{\min \{H(\Delta S), H(\Delta T) \}}
where
I(\Delta S; \Delta T)
is the mutual information, and H(\Delta S)
and H(\Delta T)
the entropy of \Delta S
and \Delta T
,
respectively.
Usage
estimate_ICA_OrdOrd(delta_S, delta_T)
Arguments
delta_S |
(integer) Vector of individual causal treatment effects on the surrogate. |
delta_T |
(integer) Vector of individual causal treatment effects on the true endpoint. |
Value
(numeric) Estimated ICA
[Package Surrogate version 3.4.1 Index]