tm_t_tte {teal.modules.clinical} | R Documentation |
teal Module: Time-To-Event Table
Description
This module produces a time-to-event analysis summary table, consistent with the TLG Catalog
template for TTET01
available here.
Usage
tm_t_tte(
label,
dataname,
parentname = ifelse(inherits(arm_var, "data_extract_spec"),
teal.transform::datanames_input(arm_var), "ADSL"),
arm_var,
arm_ref_comp = NULL,
paramcd,
strata_var,
aval_var = teal.transform::choices_selected(teal.transform::variable_choices(dataname,
"AVAL"), "AVAL", fixed = TRUE),
cnsr_var = teal.transform::choices_selected(teal.transform::variable_choices(dataname,
"CNSR"), "CNSR", fixed = TRUE),
conf_level_coxph = teal.transform::choices_selected(c(0.95, 0.9, 0.8), 0.95, keep_order
= TRUE),
conf_level_survfit = teal.transform::choices_selected(c(0.95, 0.9, 0.8), 0.95,
keep_order = TRUE),
time_points,
time_unit_var =
teal.transform::choices_selected(teal.transform::variable_choices(dataname, "AVALU"),
"AVALU", fixed = TRUE),
event_desc_var = teal.transform::choices_selected("EVNTDESC", "EVNTDESC", fixed = TRUE),
add_total = FALSE,
total_label = default_total_label(),
na_level = default_na_str(),
pre_output = NULL,
post_output = NULL,
basic_table_args = teal.widgets::basic_table_args()
)
Arguments
label |
( |
dataname |
( |
parentname |
( |
arm_var |
( |
arm_ref_comp |
( |
paramcd |
( |
strata_var |
( |
aval_var |
( |
cnsr_var |
( |
conf_level_coxph |
( |
conf_level_survfit |
( |
time_points |
( |
time_unit_var |
( |
event_desc_var |
( |
add_total |
( |
total_label |
( |
na_level |
( |
pre_output |
( |
post_output |
( |
basic_table_args |
( |
Details
The core functionality of this module is based on
coxph_pairwise()
,surv_timepoint()
, andsurv_time()
from thetern
package.The arm and stratification variables are taken from the
parentname
data.The following variables are used in the module:
-
AVAL
: time to event -
CNSR
: 1 if record inAVAL
is censored, 0 otherwise -
PARAMCD
: variable used to filter for endpoint (e.g. OS). After filtering forPARAMCD
one observation per patient is expected
-
Value
a teal_module
object.
See Also
The TLG Catalog where additional example apps implementing this module can be found.
Examples
ADSL <- tmc_ex_adsl
ADTTE <- tmc_ex_adtte
arm_ref_comp <- list(
ACTARMCD = list(
ref = "ARM B",
comp = c("ARM A", "ARM C")
),
ARM = list(
ref = "B: Placebo",
comp = c("A: Drug X", "C: Combination")
)
)
app <- init(
data = cdisc_data(
ADSL = ADSL,
ADTTE = ADTTE,
code = "
ADSL <- tmc_ex_adsl
ADTTE <- tmc_ex_adtte
"
),
modules = modules(
tm_t_tte(
label = "Time To Event Table",
dataname = "ADTTE",
arm_var = choices_selected(
variable_choices(ADSL, c("ARM", "ARMCD", "ACTARMCD")),
"ARM"
),
arm_ref_comp = arm_ref_comp,
paramcd = choices_selected(
value_choices(ADTTE, "PARAMCD", "PARAM"),
"OS"
),
strata_var = choices_selected(
variable_choices(ADSL, c("SEX", "BMRKR2")),
"SEX"
),
time_points = choices_selected(c(182, 243), 182),
event_desc_var = choices_selected(
variable_choices(ADTTE, "EVNTDESC"),
"EVNTDESC",
fixed = TRUE
)
)
)
)
if (interactive()) {
shinyApp(app$ui, app$server)
}