FSTG01
Subgroup Analysis of Best Overall Response.
fstg01.Rd
FSTG01
Subgroup Analysis of Best Overall Response.
Usage
fstg01_main(
adam_db,
dataset = "adrs",
arm_var = "ARM",
rsp_var = "is_rsp",
subgroups = c("SEX", "AGEGR1", "RACE"),
strata_var = NULL,
...
)
fstg01_pre(adam_db, ...)
fstg01_post(tlg, ...)
fstg01
Arguments
- adam_db
(
list
ofdata.frames
) object containing theADaM
datasets- dataset
(
string
) the name of a table in theadam_db
object.- arm_var
(
string
) the arm variable name used for group splitting.- rsp_var
(
string
) the response variable name to flag whether each subject is a binary response or not.- subgroups
(
character
) the subgroups variable name to list baseline risk factors.- strata_var
(
character
) required if stratified analysis is performed.- ...
Further arguments passed to
g_forest
andextract_rsp_subgroups
(a wrapper forh_odds_ratio_subgroups_df
andh_proportion_subgroups_df
). For details, see the documentation intern
. Commonly used arguments includecol_symbol_size
,col
,vline
,groups_lists
,conf_level
,method
,label_all
, etc.- tlg
(
TableTree
,Listing
orggplot
) object typically produced by amain
function.
Functions
fstg01_main()
: Main TLG Functionfstg01_pre()
: Preprocessingfstg01_post()
: Postprocessing
Note
adam_db
object must contain the table specified bydataset
with"PARAMCD"
,"ARM"
,"AVALC"
, and the columns specified bysubgroups
which is denoted asc("SEX", "AGEGR1", "RACE")
by default.
Examples
library(dplyr)
library(dunlin)
proc_data <- log_filter(
syn_data,
PARAMCD == "OVRINV" & ARM %in% c("A: Drug X", "B: Placebo"), "adrs"
)
run(fstg01, proc_data, dataset = "adrs")
#> gTree[GRID.gTree.11]
proc_data <- log_filter(
syn_data,
PARAMCD == "BESRSPI" & ARM %in% c("A: Drug X", "B: Placebo"), "adrs"
)
run(fstg01, proc_data,
subgroups = c("SEX", "AGEGR1", "RACE"),
conf_level = 0.90, dataset = "adrs"
)
#> gTree[GRID.gTree.51]