Package: EffectTreat 1.1

EffectTreat: Prediction of Therapeutic Success

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.

Authors:Wim Van der Elst, Ariel Alonso & Geert Molenberghs

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EffectTreat.pdf |EffectTreat.html✨
EffectTreat/json (API)
NEWS

# Install 'EffectTreat' in R:
install.packages('EffectTreat', repos = c('https://wimvde001.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.15 score 14 scripts 241 downloads 23 exports 0 dependencies

Last updated 4 years agofrom:ac8776121d. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 12 2024
R-4.5-winOKNov 12 2024
R-4.5-linuxOKNov 12 2024
R-4.4-winOKNov 12 2024
R-4.4-macOKNov 12 2024
R-4.3-winOKNov 12 2024
R-4.3-macOKNov 12 2024

Exports:CausalPCA.ContContGoodPretreatContContMin.Max.Multivar.PCAMin.R2.deltaMultivar.PCA.ContContPCA.ContContplot.GoodPretreatContContplot.Min.R2.deltaplot.Multivar.PCA.ContContplot.PCA.ContContplot.Predict.Treat.ContContplot.Predict.Treat.Multivar.ContContplot.Predict.Treat.T0T1.ContContPredict.Treat.ContContPredict.Treat.Multivar.ContContPredict.Treat.T0T1.ContContsummary.GoodPretreatContContsummary.Min.R2.deltasummary.Multivar.PCA.ContContsummary.PCA.ContContsummary.Predict.Treat.ContContsummary.Predict.Treat.Multivar.ContContsummary.Predict.Treat.T0T1.ContCont

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Show a causal diagram of the median correlation between the counterfactuals in the continuous-continuous settingCausalPCA.ContCont
An example datasetExample.Data
Examine the plausibility of finding a good pretreatment predictor in the Continuous-continuous caseGoodPretreatContCont
Minimum and maximum values for the multivariate predictive causal association (PCA) in the continuous-continuous caseMin.Max.Multivar.PCA
Compute minimum R^2_{delta} for desired prediction accuracyMin.R2.delta
Compute the multivariate predictive causal association (PCA) in the Continuous-continuous caseMultivar.PCA.ContCont
Compute the predictive causal association (PCA) in the Continuous-continuous casePCA.ContCont
Graphically illustrates the theoretical plausibility of finding a good pretreatment predictor in the continuous-continuous caseplot GoodPretreatContCont plot.GoodPretreatContCont
Plot R^2_{delta} as a function of delta.plot Min.R2.delta plot.Min.R2.delta
Plots the Predictive Causal Association in the continuous-continuous caseplot PCA.ContCont plot.Multivar.PCA.ContCont plot.PCA.ContCont
Plots the distribution of the individual causal effect based on S.plot Predict.Treat.ContCont plot.Predict.Treat.ContCont plot.Predict.Treat.Multivar.ContCont
Plots the distribution of the individual causal effect based on S for a specific assumed correlation between the counterfactuals.plot Predict.Treat.T0T1.ContCont plot.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 settingPredict.Treat.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 settingPredict.Treat.Multivar.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}.Predict.Treat.T0T1.ContCont