pred.func

Provides a function to calculate the expected primary outcome in the treatment group given the model and the parameters.

internal

Provides functions to estimate the proportion of treatment effect explained by the surrogate marker using a Bayesian Model Averaging approach. Duan and Parast (2023) <doi:10.1002/sim.9986>.

Yunshan Duan

SurrogateBMA

Flexible Evaluation of Surrogate Markers with Bayesian Model
Averaging

Layla Parast

pred.func function

<dl> <dt>theta</dt>
<dd>
</dd> <dt>ST</dt>
<dd>
</dd> <dt>m</dt>
<dd>
</dd></dl>

Arguments

Author

Calculate the expected primary outcome in the treatment group given the model and the parameters — pred.func

<dl>

 <dt>theta</dt>
<dd>
</dd>

 <dt>ST</dt>
<dd>
</dd>

 <dt>m</dt>
<dd>
</dd>

</dl>

pred.func: Calculate the expected primary outcome in the treatment group given the model and the parameters

Description

Usage

Value

Arguments

Author

References