Back

Statistical notes on false positive and negative error rates in the evaluation of long-term carcinogenicity bioassays

Hothorn, L. A.

2022-03-01 bioinformatics
10.1101/2022.02.25.481968 bioRxiv
Show abstract

The appropriate interpretation of mortality-adjusted tumor incidences in long-term carcinogenicity bioassays depends substantially on the actual false positive and false negative error rates. These depend, among other things, on the type of analysis of multiple correlated tumor sites and the mode of dose-response dependence in relation to the design. Selected quantitative results, such as shape-to-design relationship and discreteness are presented and the influence of further issues is discussed qualitatively.

Matching journals

The top 1 journal accounts for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.