holmdata: Classification of carcinoma _in situ_ of the uterine cervix

In AyaMitani/modelkappa: Calculates model-based kappa for agreement and association and their standard errors

Description

A dataset containing evaluations by seven pathologists each independently classifying 118 histologic slides into one of the five ordinal categories of increasing disease severity. This data set is regarded as a classic example to evaluate agreement between multiple raters each classifying a sample of subjects' test results according to an ordinal classification scale.

Usage

holmdata

Format

A data frame with 826 rows and 3 variables:

Item

unique patient identifier

Rater

unique pathologist identifier

Cat

ordinal assessment of disease, 1: negative, 2: atypical squamous hyperplasia, 3: carcinoma in situ, 4: squamous carcinoma with early stromal invasion, 5: invasive carcinoma

Source

https://www.ncbi.nlm.nih.gov/pubmed/6045443

AyaMitani/modelkappa documentation built on Nov. 20, 2019, 6:21 a.m.