risk.logit

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

Methods for Evaluating Principal Surrogates of Treatment
Response

Michael C Sachs 

Erin E Gabriel 

risk.logit function

<dl><dt>x</dt>
<dd>A vector of linear predictors</dd></dl>

Arguments

Logit link function — risk.logit

<dl>

<dt>x</dt>
<dd>A vector of linear predictors</dd>

</dl>

risk.logit: Logit link function

Description

Usage

Value

Arguments