Removing column statistic headers from collect table

[Mary Smith]

I am trying to use the table and collect commands to generate a table of descriptive statistics for a report that I am creating using putdocx.
The table I am creating includes columns with both factor variables and continuous variables. I would like to remove the column headers that say "Factor-variable percent" and "Mean" but I do not know what these table elements are called or how to modify them.

I have provided an example below (I am using confidential data, but NLSW88 is a similar format to my data). I am using Stata 18.0

sysuse nlsw88
table race, statistic(fvpercent never_married) statistic(mean hours) statistic(mean wage) ///
sformat("%s%%" fvpercent) nformat(%2.1f)
collect layout (race) (result#var[1.never_married hours wage])

Result:

collect preview

---------------------------------------------------------------------
        |  Factor-variable percent                 Mean              
        |            Never married   Usual hours worked   Hourly wage
        |            Never married                                  
--------+------------------------------------------------------------
Race    |                                                            
  White |                     7.7%                 36.9           8.1
  Black |                    18.0%                 38.1           6.8
  Other |                    11.5%                 36.8           8.6
  Total |                    10.4%                 37.2           7.8
---------------------------------------------------------------------

Apologies if this has been asked elsewhere and I did not see the post.

[Andrew Musau]

Thanks for the reproducible example.

sysuse nlsw88, clear
table race, statistic(fvpercent never_married) statistic(mean hours) statistic(mean wage) ///
sformat("%s%%" fvpercent) nformat(%2.1f)
collect label list result
collect style header result, level(hide)
collect layout (race) (result#var[1.never_married hours wage])

Res.:

. collect label list result

  Collection: Table
   Dimension: result
       Label: Result
Level labels:
   fvpercent  Factor-variable percent
        mean  Mean

. collect style header result, level(hide)

. collect layout (race) (result#var[1.never_married hours wage])

Collection: Table
      Rows: race
   Columns: result#var[1.never_married hours wage]
   Table 1: 5 x 3

-----------------------------------------------------------
        |  Never married   Usual hours worked   Hourly wage
        |  Never married                                   
--------+--------------------------------------------------
Race    |                                                  
  White |           7.7%                 36.9           8.1
  Black |          18.0%                 38.1           6.8
  Other |          11.5%                 36.8           8.6
  Total |          10.4%                 37.2           7.8
-----------------------------------------------------------

[Mary Smith]

This worked perfectly. Thank you very much!