sens.cvrs: Get subgroup of sensitive patiens according to the "cvrs"...

In svetlanache/rapids: What the Package Does (One Line, Title Case)

Get subgroup of sensitive patiens according to the "cvrs" method.

Description

For one vector of binary responses, get sensitive patients by risk scores and k-means. In the testing subsets, the risk scores are computed based on the treatment-covariate interaction effects from the training subsets. The risk scores are divided into 2 clusters by a k-means clustering (within each fold).

Usage

sens.cvrs(patients, covar, y, seed)

Arguments

patients

- a data frame with patients inormation covar - a data frame with covariates y - a vector of responses seed - a seed for random number generator

Value

A list of 4 : psens - sensitivity of identifying the sensitive group, one value per simulation run pspec - specificity of identifying the sensitive group, one value per simulation run sens.pred - predicted sensitivity status (rows = patienst, columns = simulations) cvrs - a matrix of the risk scores (rows = patients, columns = simulations).

Author(s)

Svetlana Cherlin, James Wason

svetlanache/rapids documentation built on Sept. 15, 2023, 7 a.m.