tests/testthat/_snaps/surv_effect.md

In RobinCar2: ROBust INference for Covariate Adjustment in Randomized Clinical Trials

print method for surv_effect works as expected

Code
  print(x)
Output
  Model        :  Surv(time, status) ~ meal.cal + age 
  Randomization:  sex ~ strata  ( Simple )

  Contrast     :  Log Hazard ratio

                   Estimate Std.Err Z Value Pr(>|z|)   
  Male v.s. Female  0.55219 0.19133  2.8861   0.0039 **
  ---
  Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

  Test         :  Log-Rank

                   Test Stat. Pr(>|z|)   
  Male v.s. Female     2.9496 0.003181 **
  ---
  Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

table method for surv_effect works as expected

Code
  result <- table(x)
Output
  Number of patients and events per stratum and treatment arm:
    strata    sex Patients Events
  1      0 Female       20      6
  2      0   Male       30     24
  3      1 Female       29     21
  4      1   Male       57     43
  5      2 Female       18     14
  6      2   Male       25     24
  7      3   Male        1      1

confint method for surv_effect works as expected

Code
  result <- confint(x)

Code
  expect_message(result <- confint(x, transform = exp),
  "The confidence interval is transformed.", fixed = TRUE)

RobinCar2 documentation built on Sept. 9, 2025, 5:28 p.m.