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Updated: Jul 10, 2026
05:37
An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Risk assessment models to estimate cancer probabilities
Constance M Johnson1, Derek Smolenski
1School of Nursing, Community and Family Medicine, Duke University, 307 Trent Drive, DUMC 3322, Durham, NC 27710, USA. constance.johnson@duke.edu
Current Oncology Reports
|November 10, 2007
Summary
Statistical cancer risk models are increasingly used to predict cancer incidence and mortality. New guidelines are needed for developing reliable risk assessment models and communicating cancer risks effectively to the public.
Area of Science:
- Oncology
- Biostatistics
- Public Health
Background:
- Cancer risk models are crucial for predicting cancer incidence and mortality.
- Numerous statistical models for various cancers have been published recently.
- Dynamic nature of cancer risks necessitates frequent model updates.
Purpose of the Study:
- To highlight the growing importance of cancer risk assessment models.
- To address challenges in developing and communicating cancer risk information.
- To emphasize the need for clear guidelines on creating valid risk models.
Main Methods:
- Review of recently published cancer risk models (last 3 years).
- Analysis of different cancer types covered by these models.
- Identification of challenges in model development and public communication.
Main Results:
- 15 new cancer risk models published in the last 3 years.
- Models cover a wide range of cancers including breast, colorectal, prostate, and lung.
- Significant challenges exist in both building reliable models and communicating risks due to literacy issues.
Conclusions:
- Cancer risk models are essential but require continuous updating.
- Development of robust guidelines for cancer risk assessment models is urgently needed.
- Effective communication strategies are vital to address public understanding of cancer risks.
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