Diagnostic Test Sample Size Calculator

Usage

diagnosticsamplesize(
  study_purpose = "diagnostic",
  target_sensitivity = 0.9,
  target_specificity = 0.9,
  prevalence = 0.1,
  ci_width = 0.1,
  alpha = 0.05,
  nonresponse_rate = 0,
  show_statement = TRUE,
  show_methodology = TRUE,
  show_references = FALSE,
  show_comparison_table = FALSE,
  comparison_prevalences = "0.05, 0.10, 0.20, 0.30, 0.50",
  show_method_comparison = FALSE
)

Arguments

study_purpose: .
target_sensitivity: .
target_specificity: .
prevalence: .
ci_width: .
alpha: .
nonresponse_rate: .
show_statement: .
show_methodology: .
show_references: .
show_comparison_table: .
comparison_prevalences: .
show_method_comparison: .

Value

A results object containing:

`results$sample_size_summary`					a table
`results$sample_size_statement`					a html
`results$prevalence_table`					a table
`results$method_comparison`					a table
`results$methodology`					a html
`results$references`					a html

Tables can be converted to data frames with asDF or as.data.frame. For example:

results$sample_size_summary$asDF

as.data.frame(results$sample_size_summary)