Agent-Based Modeling of Patient Navigation to Improve Breast Cancer Outcomes

Breast Cancer R21: UIC-UChicago collaboration

ABOUT

This is a collaboration between UIC and the Center for HIV Elimination (CCHE) at the University of Chicago.

This research project uses an ABNM (agent based network model) to simulate the effects of patient navigation on breast cancer diagnosis in a population of Black American women in Chicago.

The model is calibrated using empirical data that is listed in ###cookbook?###. For parameters without empirical data, our content expert's best estimates are specified.

The model is written in R. The slurm scheduler is used to submit jobs on the Midway2 cluster (rcc.uchicago.edu).

Table of Contents (#TODO links for easy navigation, alongside "back to top")

• Link to Paper

Burnin- create or specify

log in to midway (or cluster with slurm)

sbatch run/{preferred mode}.sh (control, intervention, interventionNoSocial)

data will output

sort data into directory structure: RunName > data rdata logs

move data into directory

e.g. mv *.data RunName/data mv *.RData RunName/rdata mv *.log RunName/logs

load rstudio and run analysis code from data-analysis (multiplot.R)

e.g. module load rstudio rstudio open analysis file and update paths to data

Funding

R21 CA 215252