scatterplot {dynpred}

Create scatter plot with imputed survival times

Description

Create scatter plot with imputed survival times.

Usage

scatterplot(formula, data, horizon, plot = TRUE, xlab)

Arguments

formula

Formula for prediction model to be used as in coxph

data

Data set in which to interpret the formula

horizon

The horizon, maximum value to be imputed in case of censored observations; default is 1.05 times largest event time

plot

Should the tolerance plot actually be plotted? Default is TRUE

xlab

Label for x-axis

Details

Imputation is used for censored survival times.

Value

A data frame with columns

x

Predictor (centered at zero)

imputed

(Imputed) survival time

and with attribute "horizon" (copied from input or default).

Author(s)

Hein Putter [e-mail]

References

Royston P (2001), The lognormal distribution as a model for survival time in cancer, with an emphasis on prognostic factors, Statistica Neerlandica 55, 89-104.

van Houwelingen HC, Putter H (2012). Dynamic Prediction in Clinical Survival Analysis. Chapman & Hall.

Examples

data(ova)
scatterplot(Surv(tyears, d) ~ Karn + Broders + FIGO + Ascites + Diam, data = ova)