Six data frames with diagnostic accuracy data from binary test outcomes.
data("AuditC")
data("Dementia")
data("IAQ")
data("SAQ")
data("skin_tests")
data("smoking")Six data frames with frequencies of true positives, false negatives, false positives and true negatives. The data set smoking combines the IAQ and 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
The AuditC data is from Kriston et al. (2008). The Dementia from Mitchell (2009) and the SAQ and IAQ data are subsets from the data in Patrick et al. (1994), while smoking is the complete data. The skin_tests data is part of the data from Sousa-Pinto et al. (2021) and concerns the accuracy of penicillin allergy skin tests.