Description Usage Arguments Details Value Examples

Summarises survival information at pre-specified years of interest on a
`survfit.prev`

object.

1 2 |

`object` |
A |

`years` |
A vector of years for which to estimate survival probability from the bootstrapped survival curves. |

`...` |
Arguments passed to main |

Survival probability is estimated as the mean of the bootstrapped survival
curves at a specific timepoint, with 2.5
confidence intervals. Survival probability can only be estimated at time
points less than the maximum survival time in the original dataset that the
`prevalence`

object was fitted to.

None, displays the survival probabilities to screen as a side-effect.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | ```
data(prevsim)
## Not run:
prev_obj <- prevalence(Surv(time, status) ~ age(age) + sex(sex) +
entry(entrydate) + event(eventdate),
data=prevsim, num_years_to_estimate = c(5, 10),
population_size=1e6, start = "2005-09-01",
num_reg_years = 8, cure = 5)
survobj <- survfit(prev_obj, newdata=list(age=65, sex=0))
summary(survobj)
summary(survobj, years=c(1, 3, 5, 7))
## End(Not run)
``` |

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