Static survival metrics evaluate survival predictions that do not depend on a specific evaluation time point. These metrics typically compare predicted risk scores or survival times against observed outcomes.
Input requirements
truth: asurvival::Surv()objectestimate: numeric (predicted time or risk score)
Available metrics
concordance_survival()Direction: maximize. Range: [0, 1]
See also
dynamic-survival-metrics for time-dependent survival metrics
integrated-survival-metrics for integrated survival metrics
linear-pred-survival-metrics for linear predictor survival metrics
vignette("metric-types") for an overview of all metric types
Examples
data("lung_surv")
head(lung_surv)
#> # A tibble: 6 × 4
#> .pred .pred_time surv_obj .pred_linear_pred
#> <list> <dbl> <Surv> <dbl>
#> 1 <tibble [5 × 5]> 324. 306 5.78
#> 2 <tibble [5 × 5]> 476. 455 6.17
#> 3 <tibble [5 × 5]> 521. 1010+ 6.26
#> 4 <tibble [5 × 5]> 368. 210 5.91
#> 5 <tibble [5 × 5]> 506. 883 6.23
#> 6 <tibble [5 × 5]> 324. 1022+ 5.78
concordance_survival(lung_surv, truth = surv_obj, estimate = .pred_time)
#> # A tibble: 1 × 3
#> .metric .estimator .estimate
#> <chr> <chr> <dbl>
#> 1 concordance_survival standard 0.637