auc.hqm: AUC for the High Quality Marker estimator

In HQM: Superefficient Estimation of Future Conditional Hazards Based on Marker Information

AUC for the High Quality Marker estimator

Description

Calculates the AUC for the HQM estimator.

Usage

auc.hqm(xin, est, landm, th, event_time_name, status_name)

Arguments

xin	A data frame containing event times and the patient status.
est	The HQM estimator values, typically the output of get_h_x.
landm	Landmark time.
th	Time horizon.
event_time_name	The column name of the event times in the xin data frame.
status_name	The column name of the status variable in the xin frame.

Details

The function auc.hqm implements the AUC calculation for the HQM estimator estimator.

Value

A vector of two values: the landmark time of the calculation and the AUC value.

See Also

bs.hqm

Examples

library(timeROC)
library(survival)
Landmark <- 2
pbcT1 <- pbc2[which(pbc2$year< Landmark  & pbc2$years> Landmark),]
ls<-50 # 50 grid points to evaluate the estimates
s.out<- pbcT1[, 'year']
s.out.use <-  seq(0, max(s.out), max(s.out)/( ls-1))
 
timesS2 <- seq(Landmark,14,by=0.5)
b=0.9
arg1<- get_h_x(pbcT1, 'albumin', br_s = s.out.use,  event_time_name = 'years',  
                time_name = 'year', event_name = 'status2', 2, 0.9) 
br_s2  = seq(Landmark, 14,  length=ls-1)
sfalb2<- make_sf(    (br_s2[2]-br_s2[1])/4 , arg1)
tHor <- 1.5
auc.hq.use<-auc.hqm(pbcT1, sfalb2, Landmark,tHor,  
              event_time_name = 'years', status_name = 'status2')
auc.hq.use

HQM documentation built on Jan. 8, 2026, 9:08 a.m.