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",
lbl_overall = NULL,
summaryvars = "AVAL",
row_split_var = "PARCAT2",
page_var = NULL,
map = NULL,
stats = list(default = c("n", "mean_sd", "median", "range", "count_fraction")),
precision = list(default = 0),
...
)
ext01_pre(adam_db, ...)
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- lbl_overall
(
string
) label used for overall column, if set toNULL
the overall column is omitted- summaryvars
(
character
) variables to be analyzed. The label attribute of the corresponding column inadex
table ofadam_db
is used as label.- row_split_var
(
character
) additional row split variables.- page_var
(
string
) variable name prior to which the row split is by page.- map
(
data.frame
) of mapping for split rows.- stats
(named
list
of character) where names are values found in thePARAMCD
column and the values indicate the statistical analysis to perform. Ifdefault
is set, and parameter precision not specified, the value fordefault
will be used.- precision
(named
list
ofinteger
) where names are values found in thePARAMCD
column and the values- ...
not used.
- tlg
(
TableTree
,Listing
orggplot
) object typically produced by amain
function.- prune_0
(
flag
) remove 0 count rows
Value
the main function returns an rtables
object.
the preprocessing function returns a list
of data.frame
.
the postprocessing function returns an rtables
object or an ElementaryTable
(null report).
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
#> PARCAT2 (N=15) (N=15) (N=15)
#> ———————————————————————————————————————————————————————————————————————————————
#> Drug A
#> Overall duration (days)
#> n 11 7 7
#> Mean (SD) 157.5 (67.4) 115.4 (62.8) 98.6 (68.8)
#> Median 174.0 119.0 89.0
#> Min - Max 53 - 239 22 - 219 1 - 182
#> Total dose administered
#> n 11 7 7
#> Mean (SD) 6567.3 (1127.1) 7028.6 (1626.1) 6377.1 (863.7)
#> Median 6720.0 7200.0 6480.0
#> Min - Max 4800 - 8400 5280 - 9360 5280 - 7440
#> Drug B
#> Overall duration (days)
#> n 4 8 8
#> Mean (SD) 142.2 (100.3) 105.9 (60.0) 158.2 (96.2)
#> Median 160.0 95.0 203.0
#> Min - Max 17 - 232 37 - 211 27 - 249
#> Total dose administered
#> n 4 8 8
#> Mean (SD) 7020.0 (1148.9) 5250.0 (864.7) 5940.0 (1187.9)
#> Median 6960.0 5160.0 5880.0
#> Min - Max 5760 - 8400 4080 - 6480 4320 - 7680
run(ext01, syn_data, summaryvars = c("AVAL", "AVALCAT1"), prune_0 = FALSE)
#> A: Drug X B: Placebo C: Combination
#> PARCAT2 (N=15) (N=15) (N=15)
#> ———————————————————————————————————————————————————————————————————————————————
#> Drug A
#> Overall duration (days)
#> n 11 7 7
#> Mean (SD) 157.5 (67.4) 115.4 (62.8) 98.6 (68.8)
#> Median 174.0 119.0 89.0
#> Min - Max 53 - 239 22 - 219 1 - 182
#> n 11 7 7
#> < 1 month 0 1 (14.3%) 1 (14.3%)
#> 1 to <3 months 3 (27.3%) 1 (14.3%) 3 (42.9%)
#> 3 to <6 months 3 (27.3%) 4 (57.1%) 2 (28.6%)
#> >=6 months 5 (45.5%) 1 (14.3%) 1 (14.3%)
#> <700 0 0 0
#> 700-900 0 0 0
#> 900-1200 0 0 0
#> >1200 0 0 0
#> <5000 0 0 0
#> 5000-7000 0 0 0
#> 7000-9000 0 0 0
#> >9000 0 0 0
#> 7 0 0 0
#> Total dose administered
#> n 11 7 7
#> Mean (SD) 6567.3 (1127.1) 7028.6 (1626.1) 6377.1 (863.7)
#> Median 6720.0 7200.0 6480.0
#> Min - Max 4800 - 8400 5280 - 9360 5280 - 7440
#> n 11 7 7
#> < 1 month 0 0 0
#> 1 to <3 months 0 0 0
#> 3 to <6 months 0 0 0
#> >=6 months 0 0 0
#> <700 0 0 0
#> 700-900 0 0 0
#> 900-1200 0 0 0
#> >1200 0 0 0
#> <5000 1 (9.1%) 0 0
#> 5000-7000 6 (54.5%) 3 (42.9%) 5 (71.4%)
#> 7000-9000 4 (36.4%) 3 (42.9%) 2 (28.6%)
#> >9000 0 1 (14.3%) 0
#> 7 0 0 0
#> Drug B
#> Overall duration (days)
#> n 4 8 8
#> Mean (SD) 142.2 (100.3) 105.9 (60.0) 158.2 (96.2)
#> Median 160.0 95.0 203.0
#> Min - Max 17 - 232 37 - 211 27 - 249
#> n 4 8 8
#> < 1 month 1 (25.0%) 0 1 (12.5%)
#> 1 to <3 months 0 4 (50.0%) 2 (25.0%)
#> 3 to <6 months 1 (25.0%) 3 (37.5%) 0
#> >=6 months 2 (50.0%) 1 (12.5%) 5 (62.5%)
#> <700 0 0 0
#> 700-900 0 0 0
#> 900-1200 0 0 0
#> >1200 0 0 0
#> <5000 0 0 0
#> 5000-7000 0 0 0
#> 7000-9000 0 0 0
#> >9000 0 0 0
#> 7 0 0 0
#> Total dose administered
#> n 4 8 8
#> Mean (SD) 7020.0 (1148.9) 5250.0 (864.7) 5940.0 (1187.9)
#> Median 6960.0 5160.0 5880.0
#> Min - Max 5760 - 8400 4080 - 6480 4320 - 7680
#> n 4 8 8
#> < 1 month 0 0 0
#> 1 to <3 months 0 0 0
#> 3 to <6 months 0 0 0
#> >=6 months 0 0 0
#> <700 0 0 0
#> 700-900 0 0 0
#> 900-1200 0 0 0
#> >1200 0 0 0
#> <5000 0 4 (50.0%) 2 (25.0%)
#> 5000-7000 2 (50.0%) 4 (50.0%) 4 (50.0%)
#> 7000-9000 2 (50.0%) 0 2 (25.0%)
#> >9000 0 0 0
#> 7 0 0 0
levels(syn_data$adex$AVALCAT1) <- c(levels(syn_data$adex$AVALCAT1), "12 months")
map <- data.frame(
PARAMCD = "TDURD",
AVALCAT1 = c("< 1 month", "1 to <3 months", ">=6 months", "3 to <6 months", "12 months")
)
run(
ext01,
syn_data,
summaryvars = c("AVAL", "AVALCAT1"),
prune_0 = FALSE,
map = map,
precision = list(TDOSE = 4, default = 4),
stats = list(TDURD = "n", default = c("n", "count_fraction"))
)
#> A: Drug X B: Placebo C: Combination
#> PARCAT2 (N=15) (N=15) (N=15)
#> ———————————————————————————————————————————————————————————————————
#> Drug A
#> Overall duration (days)
#> n 11 7 7
#> n 11 7 7
#> Total dose administered
#> n 11 7 7
#> n 11 7 7
#> <5000 1 (9.1%) 0 0
#> 5000-7000 6 (54.5%) 3 (42.9%) 5 (71.4%)
#> 7000-9000 4 (36.4%) 3 (42.9%) 2 (28.6%)
#> >9000 0 1 (14.3%) 0
#> Drug B
#> Overall duration (days)
#> n 4 8 8
#> n 4 8 8
#> Total dose administered
#> n 4 8 8
#> n 4 8 8
#> <5000 0 4 (50.0%) 2 (25.0%)
#> 5000-7000 2 (50.0%) 4 (50.0%) 4 (50.0%)
#> 7000-9000 2 (50.0%) 0 2 (25.0%)
#> >9000 0 0 0