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S3 Methods for surv_effect

Source: R/surv_effect.R
surv_effect_methods.Rd

S3 Methods for surv_effect

Usage 

# S3 method for class 'surv_effect'
print(x, ...)

table(x, ...)

# Default S3 method
table(x, ...)

# S3 method for class 'surv_effect'
table(x, ...)

Arguments

x

(surv_effect) the obtained result from robin_surv().

...

ignored additional arguments (for compatibility).

Functions

  • print(surv_effect): prints the surv_effect object.

  • table(surv_effect): prints and returns invisibly the events table of the surv_effect object.

Examples 

x <- robin_surv(
  formula = Surv(time, status) ~ meal.cal + age + strata(strata),
  data = surv_data,
  treatment = sex ~ pb(strata)
)
print(x)
#> Model        : Surv(time, status) ~ meal.cal + age + strata(strata)
#> Randomization: sex ~ pb(strata) (Permuted-Block)
#> Stratification variables:  strata 
#> Covariates adjusted for: meal.cal, age (including interactions with sex)
#> 
#> Contrast     : Covariate-adjusted Stratified 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         : Covariate-adjusted Stratified 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(x)
#> 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