Mini Review: Carcinogenicity Statistics

The aim of carcinogenicity studies is to identify carcinogenic potential, properties, or hazards of a chemical. On these types of studies, statisticians and pathologists work closely together as the microscopic findings are routinely statistically analyzed. The areas of interest to both groups include the classification of tumors as fatal or non-fatal, tumor combinations, and the interpretation of the results. These topics are among those discussed within this paper.

Authors

Publication Details

Journal
Toxicologic Pathology
Published
2026-03-29
DOI
https://doi.org/10.1177/01926233261432174
Primary Topic
Carcinogens and Genotoxicity Assessment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mini Review: Carcinogenicity Statistics

Jim Saul
Toxicologic Pathology
Carcinogens and Genotoxicity Assessment
article

Mini Review: Carcinogenicity Statistics

Jim Saul
article en

Abstract

The aim of carcinogenicity studies is to identify carcinogenic potential, properties, or hazards of a chemical. On these types of studies, statisticians and pathologists work closely together as the microscopic findings are routinely statistically analyzed. The areas of interest to both groups include the classification of tumors as fatal or non-fatal, tumor combinations, and the interpretation of the results. These topics are among those discussed within this paper.

Toxicologic Pathology
Good health and well-being
Openalex Percentile: Top 4%
Carcinogens and Genotoxicity Assessment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.