decision: Medical Decision

In sbalci/ClinicoPathJamoviModule: Analysis for Clinicopathological Research

Medical Decision

Description

Function for Medical Decision Analysis. Sensitivity, specificity, positive predictive value, negative predictive value.

Usage

decision(
  data,
  gold,
  goldPositive,
  newtest,
  testPositive,
  pp = FALSE,
  pprob = 0.3,
  od = FALSE,
  fnote = FALSE,
  ci = FALSE,
  fagan = FALSE
)

Arguments

data	The data as a data frame. The data frame should contain the variables specified in the 'variables' option.
gold	The golden standard variable.
goldPositive	The positive level of the golden standard variable.
newtest	The new test variable.
testPositive	The positive level of the new test variable.
pp	Boolean selection whether to show prior probability. Default is 'false'.
pprob	Prior probability (disease prevalence in the community). Requires a value between 0.001 and 0.999, default 0.300.
od	Boolean selection whether to show frequency table. Default is 'false'.
fnote	Boolean selection whether to show footnotes. Default is 'false'.
ci	Boolean selection whether to show 95\ Default is 'false'.
fagan	Boolean selection whether to show Fagan Nomogram. Default is 'false'.

Value

A results object containing:

results$text1					a preformatted
results$text2					a html
results$cTable					a table
results$nTable					a table
results$ratioTable					a table
results$epirTable_ratio					a table
results$epirTable_number					a table
results$plot1					an image

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

results$cTable$asDF

as.data.frame(results$cTable)

Examples

# example will be added

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