1. Colorectal Cancer Incidence Prediction Model

   Tools | Contributor(s): Eric Sherer, Mohd Rahmad

   Stochastic simulation of polyp and colorectal cancer (CRC) incidence with patient age.

2. Predicting Patient-specific CRC Incidence from Polyp Prevalence

   Teaching Materials | Contributor(s): Eric Sherer

   Seminal work on CRC incidence modeling argued that the slope of the linear log-log CRC incidence with age implies that 6 or 7 somatic mutations are required for transformation to CRC. Subsequent …

3. Monte Carlo Simulation for four CRC Incidence Models

   Tools | Contributor(s): Eric Sherer

   A Monte Carlo Simulator determines the risk of colorectal cancer (CRC) development in a population by calculating multiple, individual patient trajectories.

4. Introduction to Population Balance Modelling

   Teaching Materials | Contributor(s): Eric Sherer

   This presentation gives an overview of the role and applications of population balance (or structured) models in describing biological phenomenon. These models represent the continuum between purely …

5. Integrative Mathematical Models

   Series

   Statistical, Population-based and Agent-based Modeling Data from the four OMIC analyses will be transferred to the statistical modelers for integration and analysis. Integrative statistical …

Total 5 results found.