Description Usage Format Source
A dataset containing evaluations by eight genitourinary pathologists reviewing 25 bladder cancer specimens. Each pathologist provided a binary classification for each specimen according to whether or not they considered the sample to be non-invasive or invasive bladder cancer. More details of the study are available at https://doi.org/10.1111/his.12214.
1 |
A data frame with 200 rows and 3 variables:
unique patient identifier (1 - 8)
unique pathologist identifier (1 - 25)
assessment of cancer, 0: non-invasive, 1: invasive
https://doi.org/10.1111/his.12214
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.