EXT01 Exposure Summary Table.
ext01.RdThe 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, ...)
ext01Arguments
- adam_db
(
listofdata.frames) object containing theADaMdatasets- arm_var
(
string) variable used for column splitting- summaryvars
(
character) variables to be analyzed. The label attribute of the corresponding column inadextable ofadam_dbis used as label.- lbl_overall
(
string) label used for overall column, if set toNULLthe overall column is omitted- ...
not used.
- paramcd_order
(
character) providing thePARAMCDvalues 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,Listingorggplot) object typically produced by amainfunction.- prune_0
(
flag) remove 0 count rows
Details
Default Exposure table
The
nrow 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 modificationare 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
PARAMvalue. Transform to factor and re-level for custom order.ANL01FLis 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%)