nogoldstandard: Analysis Without Gold Standard

In sbalci/ClinicoPathJamoviModule: Analysis for Clinicopathological Research

Analysis Without Gold Standard

Description

Analysis of diagnostic tests without a gold standard reference

Usage

nogoldstandard(
  data,
  test1,
  test1Positive,
  test2,
  test2Positive,
  test3,
  test3Positive,
  test4,
  test4Positive,
  test5,
  test5Positive,
  method = "latent_class",
  bootstrap = FALSE,
  nboot = 1000,
  alpha = 0.05
)

Arguments

data	The data as a data frame.
test1	First diagnostic test variable.
test1Positive	The positive level for Test 1.
test2	Second diagnostic test variable.
test2Positive	The positive level for Test 2.
test3	Third diagnostic test variable (optional).
test3Positive	The positive level for Test 3.
test4	Fourth diagnostic test variable (optional).
test4Positive	The positive level for Test 4.
test5	Fifth diagnostic test variable (optional).
test5Positive	The positive level for Test 5.
method	Method for analyzing tests without gold standard.
bootstrap	Calculate bootstrap confidence intervals.
nboot	Number of bootstrap samples for confidence intervals.
alpha	Alpha level for confidence intervals.

Value

A results object containing:

results$prevalence					a table
results$test_metrics					a table
results$model_fit					a table
results$agreement_plot					an image

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

results$prevalence$asDF

as.data.frame(results$prevalence)

Examples

# example will be added

sbalci/ClinicoPathJamoviModule documentation built on Feb. 25, 2025, 6:34 a.m.