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EffectTreat (version 1.1)

Prediction of Therapeutic Success

Description

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.

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Version

Install

install.packages('EffectTreat')

Monthly Downloads

244

Version

1.1

License

GPL (>= 2)

Maintainer

Wim der Elst

Last Published

July 4th, 2020

Functions in EffectTreat (1.1)

Min.R2.delta

Compute minimum \(R^2_{\delta}\) for desired prediction accuracy
GoodPretreatContCont

Examine the plausibility of finding a good pretreatment predictor in the Continuous-continuous case
Example.Data

An example dataset
Min.Max.Multivar.PCA

Minimum and maximum values for the multivariate predictive causal association (PCA) in the continuous-continuous case
Predict.Treat.Multivar.ContCont

Compute the predicted treatment effect on the true endpoint of a patient based on his or her observed vector of pretreatment predictor values in the continuous-continuous setting
CausalPCA.ContCont

Show a causal diagram of the median correlation between the counterfactuals in the continuous-continuous setting
Multivar.PCA.ContCont

Compute the multivariate predictive causal association (PCA) in the Continuous-continuous case
PCA.ContCont

Compute the predictive causal association (PCA) in the Continuous-continuous case
Predict.Treat.T0T1.ContCont

Compute the predicted treatment effect on the true endpoint of a patient based on his or her observed pretreatment predictor value in the continuous-continuous setting for a particular (single) value of \(\rho_{T0T1}\).
plot GoodPretreatContCont

Graphically illustrates the theoretical plausibility of finding a good pretreatment predictor in the continuous-continuous case
Predict.Treat.ContCont

Compute the predicted treatment effect on the true endpoint of a patient based on his or her observed pretreatment predictor value in the continuous-continuous setting
plot.Predict.Treat.ContCont

Plots the distribution of the individual causal effect based on \(S\).
plot PCA.ContCont

Plots the Predictive Causal Association in the continuous-continuous case
plot Min.R2.delta

Plot \(R^2_{\delta}\) as a function of \(\delta\).
summary

Summary
plot.Predict.Treat.T0T1.ContCont

Plots the distribution of the individual causal effect based on \(S\) for a specific assumed correlation between the counterfactuals.