integrate_nonparametric

<p>Formula specifying the integration model for the surrogate
under treatment. Generally the candidate surrogate will be on the left side
in the formula, and the BIP or BIPs will be on the right side. In this case
the BIP and the S(1) must be categorical.</p>

formula

<p>Both S(1) and the BIP or set of BIPs must be categorical. This model integrates over the estimated distribution of S(1) | BIP</p>

Contains the core methods for the evaluation of principal
surrogates in a single clinical trial. Provides a flexible interface for
defining models for the risk given treatment and the surrogate, the models
for integration over the missing counterfactual surrogate responses, and the
estimation methods. Estimated maximum likelihood and pseudo-score can be used
for estimation, and the bootstrap for inference. A variety of post-estimation
summary methods are provided, including print, summary, plot, and testing.

Michael Sachs

pseval

integrate_nonparametric: Nonparametric integration model for the missing S(1)

Description

Usage

Arguments