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

tab_style: bold and italicize

Code
  tbl %>% bold_labels() %>% bold_levels() %>% italicize_labels() %>%
    italicize_levels() %>% bold_p() %>% bold_p(q = TRUE, t = 0.2) %>%
    as.data.frame()
Output
               **Characteristic** **Drug A**, N = 98 **Drug B**, N = 102
  1                     ___Age___        46 (37, 59)         48 (39, 56)
  2                 ___Unknown___                  7                   4
  3    ___Marker Level (ng/mL)___  0.84 (0.24, 1.57)   0.52 (0.19, 1.20)
  4                 ___Unknown___                  6                   4
  5                 ___T Stage___               <NA>                <NA>
  6                      ___T1___           28 (29%)            25 (25%)
  7                      ___T2___           25 (26%)            29 (28%)
  8                      ___T3___           22 (22%)            21 (21%)
  9                      ___T4___           23 (23%)            27 (26%)
  10                  ___Grade___               <NA>                <NA>
  11                      ___I___           35 (36%)            33 (32%)
  12                     ___II___           32 (33%)            36 (35%)
  13                    ___III___           31 (32%)            33 (32%)
  14         ___Tumor Response___           28 (29%)            33 (34%)
  15                ___Unknown___                  3                   4
  16           ___Patient Died___           52 (53%)            60 (59%)
  17 ___Months to Death/Censor___  23.5 (17.4, 24.0)   21.2 (14.6, 24.0)
     **p-value** **q-value**
  1          0.7         0.9
  2         <NA>        <NA>
  3        0.085         0.5
  4         <NA>        <NA>
  5          0.9         0.9
  6         <NA>        <NA>
  7         <NA>        <NA>
  8         <NA>        <NA>
  9         <NA>        <NA>
  10         0.9         0.9
  11        <NA>        <NA>
  12        <NA>        <NA>
  13        <NA>        <NA>
  14         0.5         0.9
  15        <NA>        <NA>
  16         0.4         0.9
  17        0.14         0.5

Code
  tbl_cross_ex %>% bold_labels() %>% bold_levels() %>% italicize_labels() %>%
    italicize_levels() %>% as.data.frame()
Output
                                 ***0*** ***1*** ***Unknown*** ***Total***
  1 ___Chemotherapy Treatment___    <NA>    <NA>          <NA>        <NA>
  2                 ___Drug A___      67      28             3          98
  3                 ___Drug B___      65      33             4         102
  4                  ___Total___     132      61             7         200

Code
  tbl_uv_ex1 %>% bold_labels() %>% bold_levels() %>% italicize_labels() %>%
    italicize_levels() %>% as.data.frame()
Output
    **Characteristic** **N** **OR** **95% CI** **p-value**
  1          ___Age___   183   1.02 1.00, 1.04        0.10
  2        ___Grade___   193   <NA>       <NA>        <NA>
  3            ___I___  <NA>   <NA>       <NA>        <NA>
  4           ___II___  <NA>   0.95 0.45, 2.00         0.9
  5          ___III___  <NA>   1.10 0.52, 2.29         0.8