NCCN_sp142_t

<p>NCCN SP142 tumor data from Rimm et al. (2017) used to illustrate the ONEST method.</p>

datasets


This ONEST software implements the method of assessing the pathologist agreement in reading PD-L1 assays (Reisenbichler et al. (2020 <doi:10.1038/s41379-020-0544-x>)), to determine the minimum number of evaluators needed to estimate agreement involving a large number of raters. Input to the program should be binary(1/0) pathology data, where <e2><80><9c>0<e2><80><9d> may stand for negative and <e2><80><9c>1<e2><80><9d> for positive. Additional examples were given using the data from Rimm et al. (2017 <doi:10.1001/jamaoncol.2017.0013>).

Gang Han

ONEST

NCCN_sp142_t: Example dataset4

Description

Usage

Arguments

Details

References