risk_continuous

Formula specifying the risk model for the mean

model

number of samples for the simulated annealing integration

This model assumes that the outcome Y is normally distributed conditional on
S.1 and Z, with mean determined by the model formula. It also assumes that
larger values of Y are more indicative of poor outcomes, e.g., blood
pressure.

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

risk_continuous: Risk model for continuous outcome

Description

Usage

Arguments