Cancer screening and diagnostic tests often are classified using a binary outcome such as diseased or not diseased. Recently large-scale studies have been conducted to assess agreement between many raters. Measures of agreement using the class of generalized linear mixed models were implemented efficiently in four recently introduced R and SAS packages in large-scale agreement studies incorporating binary classifications. Simulation studies were conducted to compare the performance across the packages and apply the agreement methods to two cancer studies.



Recommended Citation

Mitani, A. A., & Nelson, K. P. (2017). Modeling Agreement between Binary Classifications of Multiple Raters in R and SAS. Journal of Modern Applied Statistical Methods, 16(2), 277-309. doi: 10.22237/jmasm/1509495300

Supplementary Tables.docx (62 kB)
Supplementary Tables

bcdata.csv (1 kB)
Example data set

appendixcodeSAS.txt (3 kB)
SAS Code (proc glimmix)

appendixcodeR.txt (7 kB)
R Code (ordinal, lme4, mcmcglmm packages)