integrate_parametric

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

formula

Assumed distribution for the integration model. Must be
compatible with the <code>family</code> argument of <a rd-options="" href="/link/glm?package=pseval&version=1.3.1" data-mini-rdoc="pseval::glm">glm</a>. Currently only
Gaussian models are supported

family

Arguments passed to <a rd-options="" href="/link/glm?package=pseval&version=1.3.1" data-mini-rdoc="pseval::glm">glm</a>

Parametric integration model for the missing S(1)

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 

integrate_parametric function

Assumed distribution for the integration model. Must be
compatible with the <code>family</code> argument of <a rd-options='' href='glm'>glm</a>. Currently only
Gaussian models are supported

Arguments passed to <a rd-options='' href='glm'>glm</a>

integrate_parametric: Parametric integration model for the missing S(1)

Description

Usage

Arguments