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Create Responder Summary Table

Source: R/efficacy_responder.R
create_responder_table.Rd

Generates a response rate table with confidence intervals and treatment comparisons (odds ratio, risk ratio, or risk difference) for binary endpoints like ORR, CR, PR.

Usage

create_responder_table(
  data,
  response_var = "AVALC",
  response_values = c("CR", "PR"),
  trt_var = "TRT01P",
  ref_group = NULL,
  ci_method = c("wilson", "exact", "wald"),
  comparison_type = c("OR", "RR", "RD"),
  conf_level = 0.95,
  title = "Response Rate Summary",
  autofit = TRUE
)

Arguments

data

ADaMData object or data frame

response_var

Variable containing response values

response_values

Character vector of values indicating response (default: c("CR", "PR") for tumor response)

trt_var

Treatment variable name (default: "TRT01P")

ref_group

Reference group for comparison. If NULL, uses first level of treatment variable.

ci_method

Method for CI calculation: "wilson" (recommended), "exact" (Clopper-Pearson), or "wald"

comparison_type

"OR" for odds ratio, "RR" for risk ratio, "RD" for risk difference

conf_level

Confidence level (default: 0.95)

title

Table title

autofit

Logical, whether to autofit column widths (default: TRUE)

Value

A ClinicalTable object with response summary

Examples

if (FALSE) { # \dontrun{
# Basic tumor response table
resp_table <- create_responder_table(
  data = adrs,
  response_var = "AVALC",
  response_values = c("CR", "PR"),
  title = "Best Overall Response"
)

# With risk ratio instead of odds ratio
resp_table <- create_responder_table(
  data = adrs,
  comparison_type = "RR",
  title = "Response Rate Summary"
)
} # }