Teal Module: Events by Term

Usage

tm_t_events(
  label,
  dataname,
  parentname = ifelse(inherits(arm_var, "data_extract_spec"),
    teal.transform::datanames_input(arm_var), "ADSL"),
  arm_var,
  hlt,
  llt,
  add_total = TRUE,
  total_label = "All Patients",
  event_type = "event",
  sort_criteria = c("freq_desc", "alpha"),
  prune_freq = 0,
  prune_diff = 0,
  drop_arm_levels = TRUE,
  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 to ADSL.

arm_var

(choices_selected or data_extract_spec)
object with all available choices and preselected option for variable names that can be used as arm_var. It defines the grouping variable(s) in the results table. If there are two elements selected for arm_var, second variable will be nested under the first variable.

hlt

(choices_selected or data_extract_spec)
name of the variable with high level term for events.

llt

(choices_selected or data_extract_spec)
name of the variable with low level term for events.

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 (see add_total).

event_type

(character)
type of event that is summarized (e.g. adverse event, treatment). Default is "event".

sort_criteria

(character)
how to sort the final table. Default option freq_desc sorts by decreasing total number of patients with event. Alternative option alpha sorts events alphabetically.

prune_freq

(number)
threshold to use for trimming table using event incidence rate in any column.

prune_diff

(number)
threshold to use for trimming table using as criteria difference in rates between any two columns.

drop_arm_levels

(logical)
drop the unused arm_var levels. When TRUE, arm_var levels are set to those used in the dataname dataset. When FALSE, arm_var levels are set to those used in the parantname dataset.

pre_output

optional, (shiny.tag)
with text placed before the output to put the output into context. For example a title.

post_output

optional, (shiny.tag)
with text placed after the output to put the output into context. For example the shiny::helpText() elements are useful.

basic_table_args

optional, (basic_table_args)
object created by teal.widgets::basic_table_args() with settings for the module table. The argument is merged with option teal.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").

Examples

adsl <- tmc_ex_adsl
adae <- tmc_ex_adae

app <- teal::init(
  data = cdisc_data(
    cdisc_dataset("ADSL", adsl),
    cdisc_dataset("ADAE", adae)
  ),
  modules = modules(
    tm_t_events(
      label = "Adverse Event Table",
      dataname = "ADAE",
      arm_var = choices_selected(c("ARM", "ARMCD"), "ARM"),
      llt = choices_selected(
        choices = variable_choices(adae, c("AETERM", "AEDECOD")),
        selected = c("AEDECOD")
      ),
      hlt = choices_selected(
        choices = variable_choices(adae, c("AEBODSYS", "AESOC")),
        selected = "AEBODSYS"
      ),
      add_total = TRUE,
      event_type = "adverse event"
    )
  )
)
#> [INFO] 2023-08-14 14:44:16.7983 pid:1183 token:[] teal.modules.clinical Initializing tm_t_events
if (interactive()) {
  shinyApp(app$ui, app$server)
}