da: Calculate diagnostic accuracy measures for binary measures...

In lbraglia/yapomif: Yet another package of misc functions

Description

Calculate diagnostic accuracy measures for binary measures (test, reference standard)

Usage

da(test = NULL, refstd = NULL, alpha = 0.05, round.dig = 4,
  positive.first = TRUE, ppv.npv.prev = NULL,
  ppv.npv.force.unadj.est = FALSE)

Arguments

test	Test (dichotomic)
refstd	Reference standard (dichotomic)
alpha	Type I error (for two sided confidence interval)
round.dig	Rounding digits
positive.first	Display positive test and reference standard in first row column
ppv.npv.prev	Prevalence adopted for ppv and npv confidence interval (if NULL estimated from sample)
ppv.npv.force.unadj.est	Force unadjusted ppv npv estimates (and confidence interval)

Value

Diagnostic accuracy table and statistics with confidence interval.

Examples

## Example CASS pag 22 Pepe
db <- dadb(tn=327 , fn=208 ,fp =115 , tp=815)
with(db, da(test=test, refstd=refstd))

## Example Alzheimer mercaldo
db <- dadb(tn=288 , fn=178 ,fp =87 , tp=240)
with(db, da(test=test, refstd=refstd, ppv.npv.prev=.03))

lbraglia/yapomif documentation built on May 20, 2019, 11:26 p.m.