sdta {MVPBT}

Transforming diagnostic measures to summary statistics for meta-analysis of diagnostic studies

Description

Transforming diagnostic measures to summary statistics for meta-analysis of diagnostic studies.

Usage

sdta(Se,Fp,Secl,Secu,Fpcl,Fpcu)

Arguments

Se

A vector of the sensitivity estimates

Fp

A vector of the false positive rate estimates

Secl

A vector of the lower confidence limits of sensitivities

Secu

A vector of the upper confidence limits of sensitivities

Fpcl

A vector of the lower confidence limits of false positive rates

Fpcu

A vector of the upper confidence limits of false positive rates

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

library("mada")

MRI <- cervical[cervical$method==3,]

MRIa <- MRI[,5:8]
MRIad <- madad(MRIa)

sdta(Se=MRIad$sens$sens,Fp=MRIad$fpr$fpr,
 Secl=MRIad$sens$sens.ci[,1],Fpcl=MRIad$fpr$fpr.ci[,1])
 
sdta(Se=MRIad$sens$sens,Fp=MRIad$fpr$fpr,
 Secu=MRIad$sens$sens.ci[,2],Fpcu=MRIad$fpr$fpr.ci[,2])