edta: Transforming contingency table data to summary statistics in...

In MVPBT: Publication Bias Tests for Meta-Analysis of Diagnostic Accuracy Test

Transforming contingency table data to summary statistics in diagnostic studies

Description

Transforming contingency table data to summary statistics in diagnostic studies.

Usage

edta(TP,FN,TN,FP)

Arguments

TP	A vector of the number of true positives (TP)
FP	A vector of the number of false positives (FP)
FN	A vector of the number of false negatives (FN)
TN	A vector of the number of true negatives (TN)

Value

Summary statistics for meta-analysis are generated.

• y: Logit-transformed sensitivities and false positive rates.

• S: Within-study variances and covariances.

• Se: Sensitivities.

• Fp: False positive rates.

Examples

data(cervical)
LAG <- cervical[cervical$method==2,]

attach(LAG)

dta1 <- edta(TP,FN,TN,FP)

MVPBT documentation built on June 22, 2024, 11:15 a.m.