add_nevent.md
In gtsummary: Presentation-Ready Data Summary and Analytic Result Tables

add_nevent after tbl_regression creates output without error/warning

Code
  res %>% as.data.frame()
Output
    **Characteristic** **Event N** **log(HR)**   **95% CI** **p-value**
  1                sex         165       -0.53 -0.86, -0.20       0.001

Code
  res %>% as.data.frame()
Output
        **Characteristic** **Event N** **log(OR)**  **95% CI** **p-value**
  1 Chemotherapy Treatment          61        <NA>        <NA>        <NA>
  2                 Drug A          NA        <NA>        <NA>        <NA>
  3                 Drug B          NA        0.19 -0.41, 0.81         0.5

add_nevent after tbl_uvregression creates output without error/warning

Code
  res %>% as.data.frame()
Output
         **Characteristic** **N** **Event N** **log(HR)**  **95% CI** **p-value**
  1  Chemotherapy Treatment   200         112        <NA>        <NA>        <NA>
  2                  Drug A  <NA>          NA        <NA>        <NA>        <NA>
  3                  Drug B  <NA>          NA        0.22 -0.15, 0.59         0.2
  4                     Age   189         103        0.01 -0.01, 0.02         0.3
  5    Marker Level (ng/mL)   190         104       -0.09 -0.32, 0.14         0.4
  6                 T Stage   200         112        <NA>        <NA>        <NA>
  7                      T1  <NA>          NA        <NA>        <NA>        <NA>
  8                      T2  <NA>          NA        0.16 -0.39, 0.71         0.6
  9                      T3  <NA>          NA        0.21 -0.37, 0.79         0.5
  10                     T4  <NA>          NA        0.91   0.40, 1.4      <0.001
  11                  Grade   200         112        <NA>        <NA>        <NA>
  12                      I  <NA>          NA        <NA>        <NA>        <NA>
  13                     II  <NA>          NA        0.25 -0.23, 0.72         0.3
  14                    III  <NA>          NA        0.52  0.07, 0.98       0.024
  15         Tumor Response   193         107       -0.70 -1.2, -0.25       0.003

Code
  res %>% as.data.frame()
Output
         **Characteristic** **N** **Event N** **log(OR)**  **95% CI** **p-value**
  1  Chemotherapy Treatment   193          61        <NA>        <NA>        <NA>
  2                  Drug A  <NA>          NA        <NA>        <NA>        <NA>
  3                  Drug B  <NA>          NA        0.19 -0.41, 0.81         0.5
  4                     Age   183          58        0.02  0.00, 0.04        0.10
  5    Marker Level (ng/mL)   183          57        0.30 -0.06, 0.66        0.10
  6                 T Stage   193          61        <NA>        <NA>        <NA>
  7                      T1  <NA>          NA        <NA>        <NA>        <NA>
  8                      T2  <NA>          NA       -0.46  -1.3, 0.38         0.3
  9                      T3  <NA>          NA        0.13 -0.74, 0.99         0.8
  10                     T4  <NA>          NA       -0.18  -1.0, 0.65         0.7
  11                  Grade   193          61        <NA>        <NA>        <NA>
  12                      I  <NA>          NA        <NA>        <NA>        <NA>
  13                     II  <NA>          NA       -0.06 -0.81, 0.69         0.9
  14                    III  <NA>          NA        0.09 -0.65, 0.83         0.8
  15           Patient Died   193          61       -0.96 -1.6, -0.34       0.003
  16 Months to Death/Censor   193          61        0.10  0.03, 0.17       0.006

add_nevent.tbl_surfit

Code
  res %>% as.data.frame()
Output
        **Characteristic** **Event N**    **Time 12**    **Time 24**
  1                Overall         112 89% (84%, 93%) 44% (38%, 51%)
  2 Chemotherapy Treatment         112           <NA>           <NA>
  3                 Drug A        <NA> 91% (85%, 97%) 47% (38%, 58%)
  4                 Drug B        <NA> 86% (80%, 93%) 41% (33%, 52%)

add_nevent.tbl_regression

Code
  res %>% as.data.frame()
Output
    **Characteristic** **Event N** **log(OR)**  **95% CI** **p-value**
  1              Grade          58        <NA>        <NA>        <NA>
  2                  I          NA        <NA>        <NA>        <NA>
  3                 II          NA       -0.16 -0.94, 0.61         0.7
  4                III          NA        0.01 -0.74, 0.77        >0.9
  5                Age          58        0.02  0.00, 0.04        0.10

Code
  res %>% as.data.frame()
Output
    **Characteristic** **Event N** **log(OR)**  **95% CI** **p-value**
  1              Grade          NA        <NA>        <NA>        <NA>
  2                  I          21        <NA>        <NA>        <NA>
  3                 II          17       -0.16 -0.94, 0.61         0.7
  4                III          20        0.01 -0.74, 0.77        >0.9
  5                Age          58        0.02  0.00, 0.04        0.10

Code
  res %>% as.data.frame()
Output
    **Characteristic** **Event N** **log(OR)**  **95% CI** **p-value**
  1              Grade          58        <NA>        <NA>        <NA>
  2                  I          21        <NA>        <NA>        <NA>
  3                 II          17       -0.16 -0.94, 0.61         0.7
  4                III          20        0.01 -0.74, 0.77        >0.9
  5                Age          58        0.02  0.00, 0.04        0.10

Code
  res %>% as.data.frame()
Output
    **Characteristic** **N** **Event N** **log(OR)**  **95% CI** **p-value**
  1                Age   183          58        0.02  0.00, 0.04        0.10
  2              Grade   193          61        <NA>        <NA>        <NA>
  3                  I  <NA>          NA        <NA>        <NA>        <NA>
  4                 II  <NA>          NA       -0.06 -0.81, 0.69         0.9
  5                III  <NA>          NA        0.09 -0.65, 0.83         0.8

Code
  res %>% as.data.frame()
Output
    **Characteristic** **N** **Event N** **log(OR)**  **95% CI** **p-value**
  1                Age   183          58        0.02  0.00, 0.04        0.10
  2              Grade   193          NA        <NA>        <NA>        <NA>
  3                  I  <NA>          21        <NA>        <NA>        <NA>
  4                 II  <NA>          19       -0.06 -0.81, 0.69         0.9
  5                III  <NA>          21        0.09 -0.65, 0.83         0.8

Code
  res %>% as.data.frame()
Output
    **Characteristic** **N** **Event N** **log(OR)**  **95% CI** **p-value**
  1                Age   183          58        0.02  0.00, 0.04        0.10
  2              Grade   193          61        <NA>        <NA>        <NA>
  3                  I  <NA>          21        <NA>        <NA>        <NA>
  4                 II  <NA>          19       -0.06 -0.81, 0.69         0.9
  5                III  <NA>          21        0.09 -0.65, 0.83         0.8