predict_one_coxfit {shinyCox}

Compute Cox-model predicted survival function

Description

Computes Cox-model predicted survival function for one new data row using coxfit list object created by prep_coxfit().

Usage

predict_one_coxfit(coxfit, newdata)

Arguments

coxfit

This is an object returned by prep_coxfit()

newdata

vector of new data

Value

data.frame of predicted survival probabilities over time, one column is time, one is probability

Note

This function's primary use is within the shiny app, where a coxph object is not available. It can be used outside of that context but that is the main purpose of this function, and why it only accepts the return object of prep_coxfit(). In the context of the shiny app, the new data is taken from user inputs.

Examples

# First, fit model using coxph
library(survival)
bladderph <- coxph(Surv(stop, event) ~ rx + number + size, bladder,
model = TRUE, x = TRUE)
# Use coxph object with function
bladderfit <- prep_coxfit(bladderph)
# Take first row of bladder as 'new data'
newdata <- bladder[1, ]
predictions <- predict_one_coxfit(bladderfit, newdata)