| ONEST {ONEST} | R Documentation |
The R ONEST package
Description
The ONEST software implements a statistical method in Reisenbichler et al. (2020[1]), to determine the minimum number of evaluators needed to estimate agreement involving a large number of raters. This method could be utilized by regulatory agencies, such as the FDA, when evaluating agreement levels of a newly proposed subjective laboratory test. Input to the program should be binary(1/0) pathology data, where “0” may stand for negative and “1” for positive. The example datasets in this software are from Rimm et al. (2017[2]) (the SP142 assay), and Reisenbichler et al. 2020. This program can run in R version 3.5.0 and above.
References
[1] Reisenbichler ES, Han G, Bellizzi A, Bossuyt V, Brock J, Cole K, et al. Prospective multi-institutional evaluation of pathologist assessment of PD-L1 assays for patient selection in triple negative breast cancer. Mod Pathol. 2020, DOI: 10.1038/s41379-020-0544-x; PMID: 32300181.
[2] Rimm DL, Han G, Taube JM, Yi ES, Bridge JA, Flieder DB, et al. A Prospective, Multi-institutional, Pathologist-Based Assessment of 4 Immunohistochemistry Assays for PD-L1 Expression in Non-Small Cell Lung Cancer. JAMA Oncol. 2017;3(8):1051-8, DOI: 10.1001/jamaoncol.2017.0013, PMID: 28278348.