thetags: thetags : Estimated theta when the gold standard biomarker is...
In henok535/RMPB: Reproducibility Metric for Predictive Biomarker

Description Usage Arguments Details Value Author(s) Examples

View source: R/thetags.R

This function is used to estimate theta assuming the gold standard biomarker is used. Further the distribution of the biomarker is assumed to be normaly distributed with a given mean and variance.

1	thetags(mydatt, dpar)

`dpar`	The parameters of the normally distributed biomarker.
`mydat`	A data frame with the outcome variable and exposure variables

This metric measure the decrease in the expected proportion of events that were avoided as a result of using the biomarker guided treatment. This is a direct biomarker utility metric as can quantify the net benefit that we can gain using the biomarker to guide treatmetn.

A value in the range of 0-1.

Henok Woldu

1
2
3

  # Let the data is stored in an object named mydat
  # Let dpar the parmaters of the normally distributed biomarker
  truetheta <- thetags(mydat, dpar)