pseudo_score

Estimate parameters from a specified model using pseudo-score

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 

pseudo_score function

<dl><dt>psdesign</dt>
<dd>An object of class psdesign</dd>
<dt>start</dt>
<dd>Vector of starting values, if NULL, will come up with starting values</dd>
<dt>epsilon</dt>
<dd>Convergence criteria</dd>
<dt>maxit</dt>
<dd>Maximum number of iterations</dd></dl>

Arguments

Estimate parameters from a specified model using pseudo-score — pseudo_score

<dl>

<dt>psdesign</dt>
<dd>An object of class psdesign</dd>


<dt>start</dt>
<dd>Vector of starting values, if NULL, will come up with starting values</dd>


<dt>epsilon</dt>
<dd>Convergence criteria</dd>


<dt>maxit</dt>
<dd>Maximum number of iterations</dd>

</dl>

pseudo_score: Estimate parameters from a specified model using pseudo-score

Description

Usage

Arguments