tests/testthat/_snaps/gtsummary_s3_methods.md

In tidycmprsk: Competing Risks Estimation

tbl_regression.tidycrr()

Code
  as.data.frame(tbl_regression(crr(Surv(ttdeath, death_cr) ~ age + grade, trial)))
Output
  11 cases omitted due to missing values
    **Characteristic** **log(HR)**  **95% CI** **p-value**
  1                Age        0.01 -0.01, 0.03         0.6
  2              Grade        <NA>        <NA>        <NA>
  3                  I        <NA>        <NA>        <NA>
  4                 II        0.06 -0.65, 0.77         0.9
  5                III        0.43  -0.20, 1.1         0.2

global_pvalue_fun.tidycrr()

Code
  as.data.frame(tbl, col_labels = FALSE)
Output
    label estimate    conf.low p.value
  1   Age     0.01 -0.01, 0.03     0.6
  2 Grade     <NA>        <NA>     0.3
  3     I     <NA>        <NA>    <NA>
  4    II     0.06 -0.65, 0.77    <NA>
  5   III     0.43  -0.20, 1.1    <NA>

tidycmprsk documentation built on Sept. 11, 2024, 7:24 p.m.