pred_model_emp: Predictive model (naive estimation)

In sMSROC: Assessment of Diagnostic and Prognostic Markers

Predictive model (naive estimation)

Description

Naive estimation of the predictive model.

Usage

pred_model_emp(marker, status)

Arguments

marker	vector with the biomarker values.
status	numeric response vector. The highest value is assumed to stand for the subjects having the event under study. The lowest value, for those who do not. Any other value will not be considered.

Details

This method for estimating the predictive model is used in both diagnosis and prognosis scenarios. It allocates individuals their own condition as positive or negative. Those with unknown condition are dismissed.

Value

The returned value is a list with two components:

marker	vector containing the ordered marker values.
probs	vector with the probabilities corresponding to each marker value estimated through the predictive model.

See Also

sMS_binout, sMS_timerc, sMS_timeic and sMSROC

sMSROC documentation built on May 29, 2024, 1:43 a.m.