# survival

Calculate survival of Cox proportional hazards model

## Syntax

## Description

estimates the baseline survival function of a Cox proportional hazards model
`s`

= survival(`coxMdl`

)`coxMdl`

. The survival function at time `t`

is the
estimated probability of survival until time `t`

. The term
*baseline* refers to the survival function at the determined baseline
of the predictors. This value is stored in `coxMdl.Baseline`

, and the
default value is the mean of the data set used for training.

estimates the survival function for the given value of the stratification variable
`s`

= survival(`coxMdl`

,`X`

,`Stratification`

)`Stratification`

. You must have one row in
`Stratification`

for each row in `X`

.

**Note**

When you train `coxMdl`

using stratification variables and
pass predictor variables `X`

,
`survival`

also requires you to pass
stratification variables.

specifies additional options using one or more name-value arguments, using any of the input
argument combinations in the previous syntaxes. For example,
`s`

= survival(___,`Name,Value`

)`survival(CoxMdl,"Time",T)`

computes the survival at times
`T`

.

## Examples

## Input Arguments

## Output Arguments

## Version History

**Introduced in R2021a**