rspt01_main: `RSPT01` Binary Outcomes Summary.

Description

RSPT01 template may be used to summarize any binary outcome or response variable at a single time point. Typical application for oncology

Usage

rspt01_main(
  adam_db,
  dataset = "adrs",
  arm_var = "ARM",
  ref_group = NULL,
  odds_ratio = TRUE,
  perform_analysis = "unstrat",
  strata = NULL,
  conf_level = 0.95,
  methods = list(),
  ...
)
rspt01_pre(adam_db, ...)
rspt01_post(tlg, prune_0 = TRUE, ...)
rspt01

Value

the main function returns an rtables object.

the preprocessing function returns a list of data.frame.

the postprocessing function returns an rtables object or an ElementaryTable (null report).

Format

An object of class chevron_t of length 1.

Arguments

adam_db: (list of data.frames) object containing the ADaM datasets
dataset: (string) the name of a table in the adam_db object.
arm_var: (string) variable used for column splitting
ref_group: (string) The name of the reference group, the value should be identical to the values in arm_var, if not specified, it will by default use the first level or value of arm_var.
odds_ratio: (flag) should the odds ratio be calculated, default is TRUE
perform_analysis: (string) option to display statistical comparisons using stratified analyses, or unstratified analyses, or both, e.g. c("unstrat", "strat"). Only unstratified will be displayed by default
strata: (string) stratification factors, e.g. strata = c("STRATA1", "STRATA2"), by default as NULL
conf_level: (numeric) the level of confidence interval, default is 0.95.
methods: (list) a named list, use a named list to control, for example: methods = list(prop_conf_method = "wald", diff_conf_method = "wald", strat_diff_conf_method = "ha", diff_pval_method = "fisher", strat_diff_pval_method = "schouten") prop_conf_method controls the methods of calculating proportion confidence interval, diff_conf_method controls the methods of calculating unstratified difference confidence interval, strat_diff_conf_method controls the methods of calculating stratified difference confidence interval, diff_pval_method controls the methods of calculating unstratified p-value for odds ratio, strat_diff_pval_method controls the methods of calculating stratified p-value for odds ratio, see more details in tern
...: not used.
tlg: (TableTree, Listing or ggplot) object typically produced by a main function.
prune_0: (flag) remove 0 count rows

Functions

rspt01_main(): Main TLG function
rspt01_pre(): Preprocessing
rspt01_post(): Postprocessing

Details

No overall value.

Examples

Run this code

library(dplyr)
library(dunlin)

proc_data <- log_filter(syn_data, PARAMCD == "BESRSPI", "adrs")

run(rspt01, proc_data)

run(rspt01, proc_data,
  odds_ratio = FALSE, perform_analysis = c("unstrat", "strat"),
  strata = c("STRATA1", "STRATA2"), methods = list(diff_pval_method = "fisher")
)

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