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.
TP: numeric. number of true positives
FN: numeric. number of false negatives
FP: numeric. number of false positives
TN: numeric. number of true negatives
type: factor. self-administered (SAQ) or interviewer-administered questionnaire (IAQ)
author: factor. Author(s) of review and year
study_id: numeric. ID variable for study
result_id: integer. ID variable for (dependent) 2x2-tables from the same study
population: factor. general (G) or student (S) population
Details
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.
Source
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 inthe 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.
Sousa-Pinto, B., Tarrio, I., Blumenthal, K.G., Araujo, L., Azevedo, L.F., Delgado, L. & Fonseca, J.A. (2021). Accuracy of penicillin allergy diagnostic tests: A systematic reviewand meta-analysis. Journal of Allergy and Clinical Immunology, 147 , 296--308.