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

s_count_patients_with_event handles NA

Code
  res
Output
  $n
  [1] 2

  $count
  [1] 1

  $count_fraction
  [1] 1.0 0.5

  $n_blq
  [1] 0

s_count_patients_with_event handles multiple columns

Code
  res
Output
  $n
  [1] 3

  $count
  [1] 1

  $count_fraction
  [1] 1.0000000 0.3333333

  $n_blq
  [1] 0

count_patients_with_event works as expected

Code
  res
Output
                                                                 A          B    
                                                               (N=2)      (N=1)  
  ———————————————————————————————————————————————————————————————————————————————
  Total number of patients with at least one adverse event   1 (50.0%)   1 (100%)
  Total number of patients with fatal AEs                        0       1 (100%)

count_patients_with_event works as expected for different column count

Code
  res
Output
                                                                 A           B    
                                                               (N=6)       (N=4)  
  ————————————————————————————————————————————————————————————————————————————————
  Total number of patients with at least one adverse event   1 (16.7%)   1 (25.0%)
  Total number of patients with fatal AEs                        0       1 (25.0%)

s_count_patients_with_event works with factor filters

Code
  res
Output
  $n
  [1] 3

  $count
  [1] 1

  $count_fraction
  [1] 1.0000000 0.3333333

  $n_blq
  [1] 0

count_patients_with_flags works as expected with risk difference column

Code
  res
Output
                                                             A: Drug X    B: Placebo   C: Combination   Risk Difference (%) (95% CI)
                                                               (N=69)       (N=73)         (N=58)                 (N=142)           
  ——————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————
  Total number of patients with at least one adverse event   59 (85.5%)   57 (78.1%)     48 (82.8%)          7.4 (-5.2 - 20.0)

Code
  res
Output
                   A: Drug X    B: Placebo   C: Combination   Risk Difference (%) (95% CI)
                    (N=202)      (N=177)        (N=162)                 (N=379)           
  ————————————————————————————————————————————————————————————————————————————————————————
  count                59           57             48              -3.0 (-12.3 - 6.3)     
  count_fraction   59 (29.2%)   57 (32.2%)     48 (29.6%)          -3.0 (-12.3 - 6.3)