survival_coxph_pairwise.md
In tern: Create Common TLGs Used in Clinical Trials

s_coxph_pairwise works with default arguments and no stratification factors

Code
  res
Output
  $pvalue
  [1] 0.09049511
  attr(,"label")
  [1] "p-value (log-rank)"

  $hr
  [1] 0.7108557
  attr(,"label")
  [1] "Hazard Ratio"

  $hr_ci
  [1] 0.4779138 1.0573368
  attr(,"label")
  [1] "95% CI"

  $n_tot
  [1] 142
  attr(,"label")
  [1] "Total n"

  $n_tot_events
  [1] 101
  attr(,"label")
  [1] "Total events"

s_coxph_pairwise works with customized arguments and no stratification factors

Code
  res
Output
  $pvalue
  [1] 0.09203863
  attr(,"label")
  [1] "p-value (wald)"

  $hr
  [1] 0.7108557
  attr(,"label")
  [1] "Hazard Ratio"

  $hr_ci
  [1] 0.5094153 0.9919525
  attr(,"label")
  [1] "90% CI"

  $n_tot
  [1] 142
  attr(,"label")
  [1] "Total n"

  $n_tot_events
  [1] 101
  attr(,"label")
  [1] "Total events"

s_coxph_pairwise works with default arguments and stratification factors

Code
  res
Output
  $pvalue
  [1] 0.03613543
  attr(,"label")
  [1] "p-value (log-rank)"

  $hr
  [1] 0.6251817
  attr(,"label")
  [1] "Hazard Ratio"

  $hr_ci
  [1] 0.4014842 0.9735181
  attr(,"label")
  [1] "95% CI"

  $n_tot
  [1] 142
  attr(,"label")
  [1] "Total n"

  $n_tot_events
  [1] 101
  attr(,"label")
  [1] "Total events"

s_coxph_pairwise works with customized arguments and stratification factors

Code
  res
Output
  $pvalue
  [1] 0.03764119
  attr(,"label")
  [1] "p-value (wald)"

  $hr
  [1] 0.6251817
  attr(,"label")
  [1] "Hazard Ratio"

  $hr_ci
  [1] 0.4311132 0.9066115
  attr(,"label")
  [1] "90% CI"

  $n_tot
  [1] 142
  attr(,"label")
  [1] "Total n"

  $n_tot_events
  [1] 101
  attr(,"label")
  [1] "Total events"

coxph_pairwise works with default arguments and no stratification factors

Code
  res
Output
                          ARM A      ARM B          ARM C    
  ———————————————————————————————————————————————————————————
  Unstratified Analysis                                      
    p-value (log-rank)               0.0905         0.0086   
    Hazard Ratio                      1.41           1.81    
    95% CI                        (0.95, 2.09)   (1.16, 2.84)

coxph_pairwise works with customized arguments and no stratification factors

Code
  res
Output
                           ARM A      ARM B          ARM C    
  ————————————————————————————————————————————————————————————
  Unstratified Analysis                                       
    p-value (likelihood)              0.0903         0.0099   
    Hazard Ratio                       1.41           1.81    
    99% CI                         (0.83, 2.37)   (1.00, 3.27)

coxph_pairwise works with default arguments and stratification factors

Code
  res
Output
                         ARM A      ARM B          ARM C    
  ——————————————————————————————————————————————————————————
  Stratified Analysis                                       
    p-value (log-rank)              0.0769         0.0058   
    Hazard Ratio                     1.44           1.89    
    95% CI                       (0.96, 2.15)   (1.19, 2.98)

coxph_pairwise works with customized arguments and stratification factors

Code
  res
Output
                        ARM A       ARM B            ARM C     
  —————————————————————————————————————————————————————————————
  Stratified Analysis                                          
    Hazard Ratio                    1.600            2.049     
    99% CI                      (0.894, 2.863)   (1.092, 3.844)