Five data frames with diagnostic accuracy data from binary test outcomes.
1 2 3 4 5
Five data frames with frequencies of true positives, false negatives, false positives and true negatives. The data set
smoking combines the
SAQ data sets and these are the only ones with variables in addition to the frequencies.
numeric. number of true positives
numeric. number of false negatives
numeric. number of false positives
numeric. number of true negatives
factor. self-administered (SAQ) or interviewer-administered questionnaire (IAQ)
factor. Author(s) of review and year
numeric. ID variable for study
integer. ID variable for (dependent) 2x2-tables from the same study
factor. general (G) or student (S) population
AuditC data is from Kriston et al. (2008). The
Dementia from Mitchell (2009) and the
IAQ data are subsets from the data in Patrick et al. (1994), while
smoking is the complete data.
Kriston, L., H\"oelzel, L., Weiser, A., Berner, M., & Haerter, M. (2008).“ Meta-analysis: Are 3 Questions Enough to Detect Unhealthy Alcohol Use?” Annals of Internal Medicine, 149, 879–888.
Mitchell, A. (2009). “A meta-analysis of the accuracy of the mini-mental state examination in the detection of dementia and mild cognitive impairment.” Journal of Psychiatric Research, 43, 411–431.
Patrick, D., Cheadle, A., Thompson, D., Diehr, P., Koepsell, T., & Kinne, S. (1994). “The validity of self-reported smoking: a review and meta-analysis.” American Journal of Public Health, 84, 1086–1093.
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