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
(
character
)
menu item label of the module in the teal app.- dataname
(
character
)
analysis data used in teal module.- parentname
(
character
)
parent analysis data used in teal module, usually this refers toADSL
.- arm_var
(
teal.transform::choices_selected()
)
object with all available choices and preselected option for variable names that can be used asarm_var
. It defines the grouping variable(s) in the results table. If there are two elements selected forarm_var
, second variable will be nested under the first variable.- arm_ref_comp
(
list
) optional,
if specified it must be a named list with each element corresponding to an arm variable inADSL
and the element must be another list (possibly with delayedteal.transform::variable_choices()
or delayedteal.transform::value_choices()
with the elements namedref
andcomp
that the defined the default reference and comparison arms when the arm variable is changed.- paramcd
(
teal.transform::choices_selected()
)
object with all available choices and preselected option for the parameter code variable fromdataname
.- strata_var
(
teal.transform::choices_selected()
)
names of the variables for stratified analysis.- aval_var
(
teal.transform::choices_selected()
)
object with all available choices and pre-selected option for the analysis variable.- cnsr_var
(
teal.transform::choices_selected()
)
object with all available choices and preselected option for the censoring variable.- conf_level_coxph
(
teal.transform::choices_selected()
)
object with all available choices and pre-selected option for confidence level, each within range of (0, 1).- conf_level_survfit
(
teal.transform::choices_selected()
)
object with all available choices and pre-selected option for confidence level, each within range of (0, 1).- time_points
(
teal.transform::choices_selected()
)
object with all available choices and preselected option for time points that can be used intern::surv_timepoint()
.- time_unit_var
(
teal.transform::choices_selected()
)
object with all available choices and pre-selected option for the time unit variable.- event_desc_var
(
character
ordata_extract_spec()
)
variable name with the event description information, optional.- add_total
(
logical
)
whether to include column with total number of patients.- total_label
(
string
)
string to display as total column/row label if column/row is enabled (seeadd_total
). Defaults to"All Patients"
. To set a new defaulttotal_label
to apply in all modules, runset_default_total_label("new_default")
.- na_level
(
string
)
used to replace allNA
or empty values in character or factor variables in the data. Defaults to"<Missing>"
. To set a defaultna_level
to apply in all modules, runset_default_na_str("new_default")
.- pre_output
(
shiny.tag
) optional,
with text placed before the output to put the output into context. For example a title.- post_output
(
shiny.tag
) optional,
with text placed after the output to put the output into context. For example theshiny::helpText()
elements are useful.- basic_table_args
(
basic_table_args
) optional
object created byteal.widgets::basic_table_args()
with settings for the module table. The argument is merged with optionteal.basic_table_args
and with default module arguments (hard coded in the module body). For more details, see the vignette:vignette("custom-basic-table-arguments", package = "teal.widgets")
.
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 eventCNSR
: 1 if record inAVAL
is censored, 0 otherwisePARAMCD
: variable used to filter for endpoint (e.g. OS). After filtering forPARAMCD
one observation per patient is expected
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
)
)
)
)
#> Initializing tm_t_tte
if (interactive()) {
shinyApp(app$ui, app$server)
}