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MVPBT (version 1.2-1)

edta: 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)

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.

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)

Examples

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

attach(LAG)

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

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