Demographic table with gtsummary
Usage
gt_t_dm_slide(adsl, arm = "TRT01P", vars = c("AGE", "SEX", "RACE"))Note
* Default arm variables are set to `"TRT01A"` for safety output, and `"TRT01P"` for efficacy output
Examples
library(dplyr)
adsl <- eg_adsl
out1 <- gt_t_dm_slide(adsl, "TRT01P", c("SEX", "AGE", "RACE", "ETHNIC", "COUNTRY"))
print(out1)
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#> <table class="gt_table" data-quarto-disable-processing="false" data-quarto-bootstrap="false">
#> <!--/html_preserve--><caption class='gt_caption'><span class='gt_from_md'>Demographic slide</span></caption><!--html_preserve-->
#> <thead>
#> <tr class="gt_col_headings">
#> <th class="gt_col_heading gt_columns_bottom_border gt_left" rowspan="1" colspan="1" scope="col" id="label"><span class='gt_from_md'><strong>Characteristic</strong></span></th>
#> <th class="gt_col_heading gt_columns_bottom_border gt_center" rowspan="1" colspan="1" scope="col" id="stat_1"><span class='gt_from_md'><strong>A: Drug X</strong><br />
#> N = 134</span><span class="gt_footnote_marks" style="white-space:nowrap;font-style:italic;font-weight:normal;line-height:0;"><sup>1</sup></span></th>
#> <th class="gt_col_heading gt_columns_bottom_border gt_center" rowspan="1" colspan="1" scope="col" id="stat_2"><span class='gt_from_md'><strong>B: Placebo</strong><br />
#> N = 134</span><span class="gt_footnote_marks" style="white-space:nowrap;font-style:italic;font-weight:normal;line-height:0;"><sup>1</sup></span></th>
#> <th class="gt_col_heading gt_columns_bottom_border gt_center" rowspan="1" colspan="1" scope="col" id="stat_3"><span class='gt_from_md'><strong>C: Combination</strong><br />
#> N = 132</span><span class="gt_footnote_marks" style="white-space:nowrap;font-style:italic;font-weight:normal;line-height:0;"><sup>1</sup></span></th>
#> </tr>
#> </thead>
#> <tbody class="gt_table_body">
#> <tr><td headers="label" class="gt_row gt_left">Sex</td>
#> <td headers="stat_1" class="gt_row gt_center"><br /></td>
#> <td headers="stat_2" class="gt_row gt_center"><br /></td>
#> <td headers="stat_3" class="gt_row gt_center"><br /></td></tr>
#> <tr><td headers="label" class="gt_row gt_left"> F</td>
#> <td headers="stat_1" class="gt_row gt_center">79 (59%)</td>
#> <td headers="stat_2" class="gt_row gt_center">82 (61%)</td>
#> <td headers="stat_3" class="gt_row gt_center">70 (53%)</td></tr>
#> <tr><td headers="label" class="gt_row gt_left"> M</td>
#> <td headers="stat_1" class="gt_row gt_center">55 (41%)</td>
#> <td headers="stat_2" class="gt_row gt_center">52 (39%)</td>
#> <td headers="stat_3" class="gt_row gt_center">62 (47%)</td></tr>
#> <tr><td headers="label" class="gt_row gt_left">Age</td>
#> <td headers="stat_1" class="gt_row gt_center">33 (28, 39)</td>
#> <td headers="stat_2" class="gt_row gt_center">35 (30, 40)</td>
#> <td headers="stat_3" class="gt_row gt_center">35 (30, 40)</td></tr>
#> <tr><td headers="label" class="gt_row gt_left">Race</td>
#> <td headers="stat_1" class="gt_row gt_center"><br /></td>
#> <td headers="stat_2" class="gt_row gt_center"><br /></td>
#> <td headers="stat_3" class="gt_row gt_center"><br /></td></tr>
#> <tr><td headers="label" class="gt_row gt_left"> ASIAN</td>
#> <td headers="stat_1" class="gt_row gt_center">68 (51%)</td>
#> <td headers="stat_2" class="gt_row gt_center">67 (50%)</td>
#> <td headers="stat_3" class="gt_row gt_center">73 (55%)</td></tr>
#> <tr><td headers="label" class="gt_row gt_left"> BLACK OR AFRICAN AMERICAN</td>
#> <td headers="stat_1" class="gt_row gt_center">31 (23%)</td>
#> <td headers="stat_2" class="gt_row gt_center">28 (21%)</td>
#> <td headers="stat_3" class="gt_row gt_center">32 (24%)</td></tr>
#> <tr><td headers="label" class="gt_row gt_left"> WHITE</td>
#> <td headers="stat_1" class="gt_row gt_center">27 (20%)</td>
#> <td headers="stat_2" class="gt_row gt_center">26 (19%)</td>
#> <td headers="stat_3" class="gt_row gt_center">21 (16%)</td></tr>
#> <tr><td headers="label" class="gt_row gt_left"> AMERICAN INDIAN OR ALASKA NATIVE</td>
#> <td headers="stat_1" class="gt_row gt_center">8 (6.0%)</td>
#> <td headers="stat_2" class="gt_row gt_center">11 (8.2%)</td>
#> <td headers="stat_3" class="gt_row gt_center">6 (4.5%)</td></tr>
#> <tr><td headers="label" class="gt_row gt_left"> MULTIPLE</td>
#> <td headers="stat_1" class="gt_row gt_center">0 (0%)</td>
#> <td headers="stat_2" class="gt_row gt_center">1 (0.7%)</td>
#> <td headers="stat_3" class="gt_row gt_center">0 (0%)</td></tr>
#> <tr><td headers="label" class="gt_row gt_left"> NATIVE HAWAIIAN OR OTHER PACIFIC ISLANDER</td>
#> <td headers="stat_1" class="gt_row gt_center">0 (0%)</td>
#> <td headers="stat_2" class="gt_row gt_center">1 (0.7%)</td>
#> <td headers="stat_3" class="gt_row gt_center">0 (0%)</td></tr>
#> <tr><td headers="label" class="gt_row gt_left"> OTHER</td>
#> <td headers="stat_1" class="gt_row gt_center">0 (0%)</td>
#> <td headers="stat_2" class="gt_row gt_center">0 (0%)</td>
#> <td headers="stat_3" class="gt_row gt_center">0 (0%)</td></tr>
#> <tr><td headers="label" class="gt_row gt_left"> UNKNOWN</td>
#> <td headers="stat_1" class="gt_row gt_center">0 (0%)</td>
#> <td headers="stat_2" class="gt_row gt_center">0 (0%)</td>
#> <td headers="stat_3" class="gt_row gt_center">0 (0%)</td></tr>
#> <tr><td headers="label" class="gt_row gt_left">Ethnicity</td>
#> <td headers="stat_1" class="gt_row gt_center"><br /></td>
#> <td headers="stat_2" class="gt_row gt_center"><br /></td>
#> <td headers="stat_3" class="gt_row gt_center"><br /></td></tr>
#> <tr><td headers="label" class="gt_row gt_left"> NOT REPORTED</td>
#> <td headers="stat_1" class="gt_row gt_center">6 (4.5%)</td>
#> <td headers="stat_2" class="gt_row gt_center">10 (7.5%)</td>
#> <td headers="stat_3" class="gt_row gt_center">11 (8.3%)</td></tr>
#> <tr><td headers="label" class="gt_row gt_left"> HISPANIC OR LATINO</td>
#> <td headers="stat_1" class="gt_row gt_center">15 (11%)</td>
#> <td headers="stat_2" class="gt_row gt_center">18 (13%)</td>
#> <td headers="stat_3" class="gt_row gt_center">15 (11%)</td></tr>
#> <tr><td headers="label" class="gt_row gt_left"> NOT HISPANIC OR LATINO</td>
#> <td headers="stat_1" class="gt_row gt_center">104 (78%)</td>
#> <td headers="stat_2" class="gt_row gt_center">103 (77%)</td>
#> <td headers="stat_3" class="gt_row gt_center">101 (77%)</td></tr>
#> <tr><td headers="label" class="gt_row gt_left"> UNKNOWN</td>
#> <td headers="stat_1" class="gt_row gt_center">9 (6.7%)</td>
#> <td headers="stat_2" class="gt_row gt_center">3 (2.2%)</td>
#> <td headers="stat_3" class="gt_row gt_center">5 (3.8%)</td></tr>
#> <tr><td headers="label" class="gt_row gt_left">Country</td>
#> <td headers="stat_1" class="gt_row gt_center"><br /></td>
#> <td headers="stat_2" class="gt_row gt_center"><br /></td>
#> <td headers="stat_3" class="gt_row gt_center"><br /></td></tr>
#> <tr><td headers="label" class="gt_row gt_left"> CHN</td>
#> <td headers="stat_1" class="gt_row gt_center">74 (55%)</td>
#> <td headers="stat_2" class="gt_row gt_center">81 (60%)</td>
#> <td headers="stat_3" class="gt_row gt_center">64 (48%)</td></tr>
#> <tr><td headers="label" class="gt_row gt_left"> USA</td>
#> <td headers="stat_1" class="gt_row gt_center">10 (7.5%)</td>
#> <td headers="stat_2" class="gt_row gt_center">13 (9.7%)</td>
#> <td headers="stat_3" class="gt_row gt_center">17 (13%)</td></tr>
#> <tr><td headers="label" class="gt_row gt_left"> BRA</td>
#> <td headers="stat_1" class="gt_row gt_center">13 (9.7%)</td>
#> <td headers="stat_2" class="gt_row gt_center">7 (5.2%)</td>
#> <td headers="stat_3" class="gt_row gt_center">10 (7.6%)</td></tr>
#> <tr><td headers="label" class="gt_row gt_left"> PAK</td>
#> <td headers="stat_1" class="gt_row gt_center">12 (9.0%)</td>
#> <td headers="stat_2" class="gt_row gt_center">9 (6.7%)</td>
#> <td headers="stat_3" class="gt_row gt_center">10 (7.6%)</td></tr>
#> <tr><td headers="label" class="gt_row gt_left"> NGA</td>
#> <td headers="stat_1" class="gt_row gt_center">8 (6.0%)</td>
#> <td headers="stat_2" class="gt_row gt_center">7 (5.2%)</td>
#> <td headers="stat_3" class="gt_row gt_center">11 (8.3%)</td></tr>
#> <tr><td headers="label" class="gt_row gt_left"> RUS</td>
#> <td headers="stat_1" class="gt_row gt_center">5 (3.7%)</td>
#> <td headers="stat_2" class="gt_row gt_center">8 (6.0%)</td>
#> <td headers="stat_3" class="gt_row gt_center">6 (4.5%)</td></tr>
#> <tr><td headers="label" class="gt_row gt_left"> JPN</td>
#> <td headers="stat_1" class="gt_row gt_center">5 (3.7%)</td>
#> <td headers="stat_2" class="gt_row gt_center">4 (3.0%)</td>
#> <td headers="stat_3" class="gt_row gt_center">9 (6.8%)</td></tr>
#> <tr><td headers="label" class="gt_row gt_left"> GBR</td>
#> <td headers="stat_1" class="gt_row gt_center">4 (3.0%)</td>
#> <td headers="stat_2" class="gt_row gt_center">3 (2.2%)</td>
#> <td headers="stat_3" class="gt_row gt_center">2 (1.5%)</td></tr>
#> <tr><td headers="label" class="gt_row gt_left"> CAN</td>
#> <td headers="stat_1" class="gt_row gt_center">3 (2.2%)</td>
#> <td headers="stat_2" class="gt_row gt_center">2 (1.5%)</td>
#> <td headers="stat_3" class="gt_row gt_center">3 (2.3%)</td></tr>
#> <tr><td headers="label" class="gt_row gt_left"> CHE</td>
#> <td headers="stat_1" class="gt_row gt_center">0 (0%)</td>
#> <td headers="stat_2" class="gt_row gt_center">0 (0%)</td>
#> <td headers="stat_3" class="gt_row gt_center">0 (0%)</td></tr>
#> </tbody>
#>
#> <tfoot class="gt_footnotes">
#> <tr>
#> <td class="gt_footnote" colspan="4"><span class="gt_footnote_marks" style="white-space:nowrap;font-style:italic;font-weight:normal;line-height:0;"><sup>1</sup></span> <span class='gt_from_md'>n (%); Median (Q1, Q3)</span></td>
#> </tr>
#> </tfoot>
#> </table>
#> </div>
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