Prediction of Therapeutic Success
Show a causal diagram of the median correlation between the counterfac...
Examine the plausibility of finding a good pretreatment predictor in t...
Minimum and maximum values for the multivariate predictive causal asso...
Compute minimum for desired prediction accuracy
Compute the multivariate predictive causal association (PCA) in the Co...
Compute the predictive causal association (PCA) in the Continuous-cont...
Graphically illustrates the theoretical plausibility of finding a good...
Plot as a function of .
Plots the Predictive Causal Association in the continuous-continuous c...
Plots the distribution of the individual causal effect based on .
Plots the distribution of the individual causal effect based on fo...
Compute the predicted treatment effect on the true endpoint of a patie...
Compute the predicted treatment effect on the true endpoint of a patie...
Compute the predicted treatment effect on the true endpoint of a patie...
Summary
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.