EXT01 Exposure Summary Table.
ext01.Rd
The EXT01 table provides an overview of the of the exposure of the patients in terms of Total dose administered or missed, and treatment duration.
Usage
ext01_main(
adam_db,
arm_var = "ACTARM",
summaryvars = "AVAL",
lbl_overall = NULL,
...
)
ext01_pre(
adam_db,
paramcd_order = c("TNDOSE", "DOSE", "NDOSE", "TDOSE"),
show_stats = "ALL",
show_bins = "ALL",
...
)
ext01_post(tlg, prune_0 = TRUE, ...)
ext01
Arguments
- adam_db
(
list
ofdata.frames
) object containing theADaM
datasets- arm_var
(
string
) variable used for column splitting- summaryvars
(
character
) variables to be analyzed. The label attribute of the corresponding column inadex
table ofadam_db
is used as label.- lbl_overall
(
string
) label used for overall column, if set toNULL
the overall column is omitted- ...
not used.
- paramcd_order
(
character
) providing thePARAMCD
values in the desired order.- show_stats
(
character
) providing the name of the parameters whose statistical summary should be presented. To analyze all, provideshow_stats = "ALL"
(Default), to analyze none, provideshow_stats = ""
.- show_bins
(
character
) providing the name of the parameters whose categorical summary should be presented. To analyze all, provideshow_bins = "ALL"
(Default), to analyze none, provideshow_bins = ""
.- tlg
(
TableTree
,Listing
orggplot
) object typically produced by amain
function.- prune_0
(
flag
) remove 0 count rows
Details
Default Exposure table
The
n
row provides the number of non-missing values. The percentages for categorical variables is based onn
. The percentages forTotal number of patients with at least one dose modification
are based on the number of patients in the corresponding analysis population given byN
.Split columns by arm, typically
ACTARM
.Does not include a total column by default.
Sorted by alphabetic order of the
PARAM
value. Transform to factor and re-level for custom order.ANL01FL
is not relevant subset.
Examples
run(ext01, syn_data)
#> A: Drug X B: Placebo C: Combination
#> (N=134) (N=134) (N=132)
#> ————————————————————————————————————————————————————————————————————————————————————————
#> Total number of doses administered
#> n 134 134 132
#> Mean (SD) 7.0 (0.0) 7.0 (0.0) 7.0 (0.0)
#> Median 7.0 7.0 7.0
#> Min - Max 7.0 - 7.0 7.0 - 7.0 7.0 - 7.0
#> Total dose administered
#> n 134 134 132
#> Mean (SD) 6655.5 (1209.6) 6401.2 (1269.9) 6776.4 (1212.5)
#> Median 6720.0 6360.0 6720.0
#> Min - Max 4320.0 - 9360.0 4080.0 - 9360.0 4320.0 - 9360.0
run(ext01, syn_data, summaryvars = c("AVAL", "AVALCAT1"))
#> A: Drug X B: Placebo C: Combination
#> (N=134) (N=134) (N=132)
#> ————————————————————————————————————————————————————————————————————————————————————————
#> Total number of doses administered
#> n 134 134 132
#> Mean (SD) 7.0 (0.0) 7.0 (0.0) 7.0 (0.0)
#> Median 7.0 7.0 7.0
#> Min - Max 7.0 - 7.0 7.0 - 7.0 7.0 - 7.0
#> n 134 134 132
#> 7 134 (100%) 134 (100%) 132 (100%)
#> Total dose administered
#> n 134 134 132
#> Mean (SD) 6655.5 (1209.6) 6401.2 (1269.9) 6776.4 (1212.5)
#> Median 6720.0 6360.0 6720.0
#> Min - Max 4320.0 - 9360.0 4080.0 - 9360.0 4320.0 - 9360.0
#> n 134 134 132
#> <5000 10 (7.5%) 18 (13.4%) 7 (5.3%)
#> 5000-7000 72 (53.7%) 71 (53.0%) 71 (53.8%)
#> 7000-9000 50 (37.3%) 42 (31.3%) 51 (38.6%)
#> >9000 2 (1.5%) 3 (2.2%) 3 (2.3%)