CT {CAMAN} | R Documentation |
Meta-anaysis: noninvasive coronary angiography using computed tomography (CT)
Description
CT for ruling out clinically significant coronary artery disease (CAD) in adults with suspected or known CAD. The accuracy and clinical value of CT was assessed in this meta-analysis.
MEDLINE, EMBASE, and ISI Web of Science searches from inception through 2 June 2009 and bibliographies of reviews. Prospective English- or German-language studies that compared CT or MRI with conventional coronary angiography in all patients and included sufficient data for compilation of 2 x 2 tables. Two investigators independently extracted patient and study characteristics; differences were resolved by consensus. 89 studies comprising 7516 assessed the diagnostic value of CT.
Usage
data("CT")
Format
A data frame consisting of 91 data sets (rows) and 10 attributes (columns)
Variable Names in order from left to right:
- Author
Author
- Year
Year
- TP
true positive
- FP
False positive
- FN
False negative
- TN
True negative
- logitTPR
logit-true positive rate
- logitTNR
logit-true negative rate
- varlogitTPR
Variance of logit TPR
- varlogitTNR
Variance of logit TPR
References
Schuetz GM, Zacharopoulou NM, Schlattmann P, Dewey M. Meta-analysis: noninvasive coronary angiography using computed tomography versus magnetic resonance imaging. Ann Intern Med. 2010 Feb 2;152(3):167-77. doi: 10.7326/0003-4819-152-3-201002020-00008.
Examples
#Use the EM-algorithm for a diagnostic meta-analysis based on a mixture
#of bivariate normal densities.
#Here fixed study specific variances are calculated based on logit
#transformed sensitivity and specificity.
data(CT)
p2 <- c(0.4,0.6)
lamlog12 <- c(2.93,3.22)
lamlog22 <- c(2.5,1.5)
m0 <- bivariate.EM(obs1=logitTPR,obs2=logitTNR,
var1=varlogitTPR,var2=varlogitTNR,
type="meta",lambda1=lamlog12,lambda2=lamlog22,
p=p2,data=CT,class="FALSE")