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,
armvar = .study$planarm,
prune_0 = TRUE,
lbl_overall = .study$lbl_overall,
deco = std_deco("CMT02_PT"),
.study = list(planarm = "ARM", lbl_overall = NULL)
)
cmt02_pt_1_lyt(
armvar = .study$planarm,
lbl_overall = .study$lbl_overall,
deco = std_deco("CMT02_PT"),
.study = list(planarm = "ARM", lbl_overall = NULL)
)
cmt02_pt_1_pre(adam_db, ...)
cmt02_pt_1
Arguments
- adam_db
(
dm
) object containing theADaM
datasets- armvar
(
character
) variable used for column splitting- prune_0
(
logical
) remove 0 count rows- lbl_overall
(
character
) label used for overall column, if set toNULL
the overall column is omitted- deco
(
character
) decoration withtitle
,subtitles
andmain_footer
content- .study
(
list
) with default values for the arguments of the function- ...
not used.
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 functioncmt02_pt_1_lyt()
: Layoutcmt02_pt_1_pre()
: Preprocessing
Examples
run(cmt02_pt_1, syn_test_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%) 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%) 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%)