Test.Mono {Surrogate} | R Documentation |
Test whether the data are compatible with monotonicity for S and/or T (binary endpoints)
Description
For some situations, the observable marginal probabilities contain sufficient information to exclude a particular monotonicity scenario. For example, under monotonicity for S
and T
, one of the restrictions that the data impose is \pi_{0111}<min(\pi_{0 \cdot 1 \cdot}, \pi_{\cdot 1 \cdot 1})
. If the latter condition does not hold in the dataset at hand, monotonicity for S
and T
can be excluded.
Usage
Test.Mono(pi1_1_, pi0_1_, pi1_0_, pi_1_1, pi_1_0, pi_0_1)
Arguments
pi1_1_ |
A scalar that contains |
pi0_1_ |
A scalar that contains |
pi1_0_ |
A scalar that contains |
pi_1_1 |
A scalar that contains |
pi_1_0 |
A scalar that contains |
pi_0_1 |
A scalar that contains |
Author(s)
Wim Van der Elst, Ariel Alonso, Marc Buyse, & Geert Molenberghs
References
Alonso, A., Van der Elst, W., & Molenberghs, G. (2015). Validation of surrogate endpoints: the binary-binary setting from a causal inference perspective.
Examples
Test.Mono(pi1_1_=0.2619048, pi1_0_=0.2857143, pi_1_1=0.6372549,
pi_1_0=0.07843137, pi0_1_=0.1349206, pi_0_1=0.127451)