AET02
Table 1 (Default) Adverse Events by System Organ Class and Preferred Term Table 1
aet02_1.Rd
The AET02
table provides an overview of the number of subjects experiencing adverse events and the number of advert
events categorized by Body System and Dictionary-Derived Term.
Usage
aet02_1_main(
adam_db,
arm_var = "ACTARM",
lbl_overall = NULL,
lbl_aebodsys = "MedDRA System Organ Class",
lbl_aedecod = "MedDRA Preferred Term",
deco = std_deco("AET02"),
...
)
aet02_1_lyt(arm_var, lbl_overall, lbl_aebodsys, lbl_aedecod, deco)
aet02_1_pre(adam_db, ...)
aet02_1_check(adam_db, req_tables = c("adsl", "adae"), arm_var = "ACTARM")
aet02_1_post(tlg, prune_0 = TRUE, ...)
aet02_1
Arguments
- adam_db
(
dm
) object containing theADaM
datasets- arm_var
(
character
) variable used for column splitting- lbl_overall
(
character
) label used for overall column, if set toNULL
the overall column is omitted- lbl_aebodsys
(
character
) text label forAEBODSYS
.- lbl_aedecod
(
character
) text label forAEDECOD
.- deco
(
character
) decoration withtitle
,subtitles
andmain_footer
content- ...
not used.
- req_tables
(
character
) names of the required tables.- tlg
(
TableTree
,Listing
orggplot
) object typically produced by amain
function.- prune_0
(
logical
) remove 0 count rows
Details
Numbers represent absolute numbers of subject and fraction of
N
, or absolute number of event when specified.Remove zero-count rows unless overridden with
prune_0 = FALSE
.Split columns by arm.
Does not include a total column by default.
Sort Dictionary-Derived Code (
AEDECOD
) by highest overall frequencies.Missing values in
AEBODSYS
, andAEDECOD
are labeled byNo Coding available
.
Functions
aet02_1_main()
: Main TLG functionaet02_1_lyt()
: Layoutaet02_1_pre()
: Preprocessingaet02_1_check()
: Checksaet02_1_post()
: Postprocessing
Examples
run(aet02_1, syn_data)
#> MedDRA System Organ Class A: Drug X B: Placebo C: Combination
#> MedDRA Preferred Term (N=134) (N=134) (N=132)
#> ———————————————————————————————————————————————————————————————————————————————————————————————————————
#> Total number of patients with at least one adverse event 122 (91.0%) 123 (91.8%) 120 (90.9%)
#> Overall total number of events 609 622 703
#> cl A.1
#> Total number of patients with at least one adverse event 78 (58.2%) 75 (56.0%) 89 (67.4%)
#> Total number of events 132 130 160
#> dcd A.1.1.1.1 50 (37.3%) 45 (33.6%) 63 (47.7%)
#> dcd A.1.1.1.2 48 (35.8%) 48 (35.8%) 50 (37.9%)
#> cl B.2
#> Total number of patients with at least one adverse event 79 (59.0%) 74 (55.2%) 85 (64.4%)
#> Total number of events 129 138 143
#> dcd B.2.2.3.1 48 (35.8%) 54 (40.3%) 51 (38.6%)
#> dcd B.2.1.2.1 49 (36.6%) 44 (32.8%) 52 (39.4%)
#> cl D.1
#> Total number of patients with at least one adverse event 79 (59.0%) 67 (50.0%) 80 (60.6%)
#> Total number of events 127 106 135
#> dcd D.1.1.1.1 50 (37.3%) 42 (31.3%) 51 (38.6%)
#> dcd D.1.1.4.2 48 (35.8%) 42 (31.3%) 50 (37.9%)
#> cl D.2
#> Total number of patients with at least one adverse event 47 (35.1%) 58 (43.3%) 57 (43.2%)
#> Total number of events 62 72 74
#> dcd D.2.1.5.3 47 (35.1%) 58 (43.3%) 57 (43.2%)
#> cl B.1
#> Total number of patients with at least one adverse event 47 (35.1%) 49 (36.6%) 43 (32.6%)
#> Total number of events 56 60 62
#> dcd B.1.1.1.1 47 (35.1%) 49 (36.6%) 43 (32.6%)
#> cl C.2
#> Total number of patients with at least one adverse event 35 (26.1%) 48 (35.8%) 55 (41.7%)
#> Total number of events 48 53 65
#> dcd C.2.1.2.1 35 (26.1%) 48 (35.8%) 55 (41.7%)
#> cl C.1
#> Total number of patients with at least one adverse event 43 (32.1%) 46 (34.3%) 43 (32.6%)
#> Total number of events 55 63 64
#> dcd C.1.1.1.3 43 (32.1%) 46 (34.3%) 43 (32.6%)