AET02
Table 1 (Default) Adverse Events by System Organ Class and Preferred Term Table 1
aet02.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_label
aet02_main(
adam_db,
arm_var = "ACTARM",
row_split_var = "AEBODSYS",
lbl_overall = NULL,
summary_labels = list(all = aet02_label, TOTAL = c(nonunique =
"Overall total number of events")),
...
)
aet02_pre(adam_db, row_split_var = "AEBODSYS", ...)
aet02_post(tlg, row_split_var = "AEBODSYS", prune_0 = TRUE, ...)
aet02
Arguments
- adam_db
(
list
ofdata.frames
) object containing theADaM
datasets- arm_var
(
string
) variable used for column splitting- row_split_var
(
character
) additional row split variables.- lbl_overall
(
string
) label used for overall column, if set toNULL
the overall column is omitted- summary_labels
(
list
) of summarize labels. See details.- ...
not used.
- tlg
(
TableTree
,Listing
orggplot
) object typically produced by amain
function.- prune_0
(
flag
) 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
.summary_labels
is used to control the summary for each level. If "all" is used, then each split will have that summary statistic with the labels. One special case is "TOTAL", this is for the overall population.
Functions
aet02_label
: Default labelsaet02_main()
: Main TLG functionaet02_pre()
: Preprocessingaet02_post()
: Postprocessing
Examples
run(aet02, syn_data)
#> MedDRA System Organ Class A: Drug X B: Placebo C: Combination
#> MedDRA Preferred Term (N=134) (N=134) (N=132)
#> ———————————————————————————————————————————————————————————————————————————————————————————————————————
#> Overall total number of events 609 622 703
#> Total number of patients with at least one adverse event 122 (91.0%) 123 (91.8%) 120 (90.9%)
#> 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%)