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The tidycmprsk package exports a tidier for "cuminc" objects. This function adds on top of that and returns more information.

Usage

tidy_cuminc(x, times = NULL)

Arguments

x

a 'cuminc' object created with tidycmprsk::cuminc()

times

numeric vector of times. Default is NULL, which returns all observed times.

Value

a tibble

Examples

library(tidycmprsk)

cuminc(Surv(ttdeath, death_cr) ~ trt, trial) %>%
  tidy_cuminc()
#> # A tibble: 228 × 16
#>     time outcome  strata estim…¹ std.e…² conf.low conf.…³ n.risk n.event n.cen…⁴
#>    <dbl> <chr>    <fct>    <dbl>   <dbl>    <dbl>   <dbl>  <int>   <int>   <int>
#>  1  0    death f… Drug A  0       0      NA       NA          98       0       0
#>  2  3.53 death f… Drug A  0       0      NA       NA          98       0       0
#>  3  7.27 death f… Drug A  0.0102  0.0102  8.84e-4  0.0503     97       1       0
#>  4  7.38 death f… Drug A  0.0204  0.0144  3.90e-3  0.0652     96       1       0
#>  5  8.37 death f… Drug A  0.0204  0.0144  3.90e-3  0.0652     95       0       0
#>  6 10.1  death f… Drug A  0.0204  0.0144  3.90e-3  0.0652     94       0       0
#>  7 10.3  death f… Drug A  0.0204  0.0144  3.90e-3  0.0652     93       0       0
#>  8 10.5  death f… Drug A  0.0204  0.0144  3.90e-3  0.0652     92       0       0
#>  9 11.4  death f… Drug A  0.0306  0.0175  8.17e-3  0.0798     91       1       0
#> 10 11.8  death f… Drug A  0.0306  0.0175  8.17e-3  0.0798     90       0       0
#> # … with 218 more rows, 6 more variables: cum.event <int>, cum.censor <int>,
#> #   strata_label <chr>, estimate_type <chr>, estimate_type_label <chr>,
#> #   monotonicity_type <chr>, and abbreviated variable names ¹​estimate,
#> #   ²​std.error, ³​conf.high, ⁴​n.censor