plot.sPLANN: Calibration Plot for a Survival Neural Network Using the PLANN Method.

Description

A calibration plot of an object of the class sPLANN.

Usage

# S3 method for sPLANN
plot(x, n.groups=5, pro.time=NULL,
newdata=NULL, ...)

Value

No return value for this S3 method.

Arguments

x: An object returned by the function sPLANN.
n.groups: A numeric value with the number of groups by their class probabilities. The default is 5.
pro.time: The prognostic time at which the calibration plot of the survival probabilities.
newdata: An optional data frame containing the new sample for validation with covariate values, follow-up times, and event status. The default value is NULL: the calibration plot is performed from the same subjects of the training sample.
...: Additional arguments affecting the plot.

Details

The plot represents the survival obtained by the Kaplan-Meier estimator and the related 95% confidence intervals, against the mean of the predictive values for individuals stratified into groups of the same size according to the percentiles. The identity line is usually included for reference.

Examples

Run this code

data(dataK) # the database with the observed sample
data(fr.ratetable) # the table with the expected mortality rates

# The multivariate PH regression with a Weibull distribution

model <- sPLANN(Surv(time, event) ~ biomarker + sex + stade + delay 
                , data = dataK, inter = 365.241)

# the calibration plots for predictions at 2, 4, 6 and 8 years

par(mfrow=c(2, 2))

plot(model, n.groups=2, pro.time=2*365.24,
  main="Predction at 2 years")

plot(model, n.groups=2, pro.time=4*365.24, 
  main="Predction at 4 years")

plot(model, n.groups=2, pro.time=6*365.24, 
  main="Predction at 6 years")

plot(model, n.groups=2, pro.time=8*365.24, 
  main="Predction at 8 years")