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CMT02_PT Table 1 (Default) Concomitant Medications by Preferred Name.

cmt02_pt_1.Rd

A concomitant medication table with the number of subjects and the total number of treatments by medication name sorted by frequencies.

Usage 

cmt02_pt_1_main(
  adam_db,
  arm_var = "ARM",
  lbl_overall = NULL,
  deco = std_deco("CMT02_PT"),
  ...
)

cmt02_pt_1_lyt(arm_var, lbl_overall, deco)

cmt02_pt_1_pre(adam_db, ...)

cmt02_pt_1_post(tlg, prune_0 = TRUE, ...)

cmt02_pt_1

Format

An object of class chevron_t of length 1.

Arguments

adam_db

(dm) object containing the ADaM datasets

arm_var

(string) variable used for column splitting

lbl_overall

(string) label used for overall column, if set to NULL the overall column is omitted

deco

(character) decoration with title, subtitles and main_footer content

...

not used.

tlg

(TableTree, Listing or ggplot) object typically produced by a main function.

prune_0

(flag) remove 0 count rows

Details

  • Data should be filtered for concomitant medication. (ATIREL == "CONCOMITANT").

  • Order by decreasing total number of patients with the specific medication.

  • Does not include a total column by default.

Functions

  • cmt02_pt_1_main(): Main TLG function

  • cmt02_pt_1_lyt(): Layout

  • cmt02_pt_1_pre(): Preprocessing

  • cmt02_pt_1_post(): Postprocessing

Note

  • adam_db object must contain an adcm table with the columns "CMDECOD" and "CMSEQ".

Examples 

run(cmt02_pt_1, syn_data)
#>   Other Treatment                                         A: Drug X    B: Placebo    C: Combination
#>                                                            (N=134)       (N=134)        (N=132)    
#>   —————————————————————————————————————————————————————————————————————————————————————————————————
#>   Total number of patients with at least one treatment   122 (91.0%)   123 (91.8%)    120 (90.9%)  
#>   Total number of treatments                                 609           622            703      
#>     medname A_1/3                                        54 (40.3%)    49 (36.6%)      69 (52.3%)  
#>     medname C_2/2                                        52 (38.8%)    58 (43.3%)      60 (45.5%)  
#>     medname B_1/4                                        52 (38.8%)    57 (42.5%)      59 (44.7%)  
#>     medname B_2/4                                        52 (38.8%)    55 (41.0%)      56 (42.4%)  
#>     medname A_2/3                                        53 (39.6%)    50 (37.3%)      56 (42.4%)  
#>     medname C_1/2                                        51 (38.1%)    50 (37.3%)      56 (42.4%)  
#>     medname B_4/4                                        50 (37.3%)    45 (33.6%)      55 (41.7%)  
#>     medname A_3/3                                        45 (33.6%)    54 (40.3%)      48 (36.4%)  
#>     medname B_3/4                                        47 (35.1%)    47 (35.1%)      52 (39.4%)