bifunnel: Funnel plots for the bivariate outcomes

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

Funnel plots for the bivariate outcomes

Description

Funnel plots for the bivariate outcomes of diagnostic meta-analysis are created.

Usage

bifunnel(y,S)

Arguments

y	Summary outcome statistics
S	Covariance estimates of y

Value

Funnel plots for the logit-transformed sensitivities and false positive rates are presented.

References

Noma, H. (2020). Discussion of “Testing small study effects in multivariate meta-analysis” by Chuan Hong, Georgia Salanti, Sally Morton, Richard Riley, Haitao Chu, Stephen E. Kimmel, and Yong Chen. Biometrics 76: 1255-1259. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1111/biom.13343")}

Noma, H. (2022). MVPBT: R package for publication bias tests in meta-analysis of diagnostic accuracy studies. arXiv:2209.07270. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.48550/arXiv.2209.07270")}

Examples

require(metafor)
require(mada)

data(cervical)

LAG <- cervical[cervical$method==2,]

fit1 <- reitsma(LAG)
summary(fit1)     # results of the bivariate meta-analysis

###

attach(LAG)

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

###

attach(dta1)

bifunnel(y,S)

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