EffectTreat: Prediction of Therapeutic Success
Version 0.3

In personalized medicine, one wants to know, for a given patient and his or her outcome for a predictor (pre-treatment variable), how likely it is that a treatment will be more beneficial than an alternative treatment. This package allows for the quantification of the predictive causal association (i.e., the association between the predictor variable and the individual causal effect of the treatment) and related metrics. Part of this software has been developed using funding provided from the European Union's 7th Framework Programme for research, technological development and demonstration under Grant Agreement no 602552.

Getting started

Package details

AuthorWim Van der Elst, Ariel Alonso & Geert Molenberghs
Date of publication2017-01-27 18:47:26
MaintainerWim Van der Elst <Wim.vanderelst@gmail.com>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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EffectTreat documentation built on May 29, 2017, 3:59 p.m.