bifunnel {MVPBT} | R Documentation |
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 |
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. 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. 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)
[Package MVPBT version 1.2-1 Index]