prognostic.score

prognostic.score,pim-method

Computes prognostic score from <code>pim</code> model, which is the linear predictor for the main effects of the prognostic factors for untreated subjects.

methods

The tools in this package are intended to help researchers assess multiple treatment-covariate interactions with data from a parallel-group randomized controlled clinical trial. The methods implemented in the package were proposed in Kovalchik, Varadhan and Weiss (2013) <doi: 10.1002/sim.5881>.

Ravi Varadhan

anoint

Analysis of Interactions

Stephanie Kovalchik

Leon Wang

prognostic.score function

<dl> <dt>prognostic.score</dt>
<dd><code>signature(object = "pim")</code>:
Prognostic score at baseline.</dd>
 
</dl>

Methods

S. Kovalchik <a href="/link/s.a.kovalchik%40gmail.com?package=anoint&version=1.5" data-mini-rdoc="anoint::s.a.kovalchik@gmail.com">s.a.kovalchik@gmail.com</a>

Author

Computes prognostic score from <code>pim</code> model, which is the linear predictor for the main effects of the prognostic factors for untreated subjects.

Prognostic scores for pim object. — prognostic.score

<dl>

 <dt>prognostic.score</dt>
<dd><code>signature(object = "pim")</code>:
Prognostic score at baseline.</dd>


 
</dl>

S. Kovalchik <a href='mailto:s.a.kovalchik@gmail.com'>s.a.kovalchik@gmail.com</a>

prognostic.score: Prognostic scores for `pim` object.

Description

Arguments

Methods

Author