Schneider2017 {diagmeta} | R Documentation |
Meta-analysis of studies of the diagnostic test accuracy of fractional exhaled nitric oxide (FENO) for diagnosis of asthma.
The data were collected for a systematic review by Karrasch et al. (2017) and are published as a supplement (Appendix 1) to Schneider et al. (2017). They have been preprocessed for use in R package diagmeta.
A data frame with the following columns:
study_id | numeric study ID |
author | first author |
year | year of publication |
group | information on subgroup |
cutpoint | cutpoint (FeNO [ppb]) |
tpos | number of true positives |
fneg | number of false negatives |
fpos | number of false positives |
tneg | number of true negatives |
Karrasch S, Linde K, Rücker G, Sommer H, Karsch-Volk M, Kleijnen J, Jörres RA, Schneider A (2017): Accuracy of FENO for diagnosing asthma: a systematic review. Thorax, 72, 109e16
Schneider A, Linde K, Reitsma JB, Steinhauser S, Rücker G (2017): A novel statistical model for analyzing data of a systematic review generates optimal cutoff values for fractional exhaled nitric oxide for asthma diagnosis. Journal of Clinical Epidemiology, 92, 69–78
# FENO dataset # data(Schneider2017) diag1 <- diagmeta(tpos, fpos, tneg, fneg, cutpoint, studlab = paste(author, year, group), data = Schneider2017, log.cutoff = TRUE) plot(diag1)