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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).

GitHub last commit

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

Link to Paper

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Model

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ERGM Generation (#TODO Bryan has no idea how this works)

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Installation (#TODO Include Dependencies)

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Usage

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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

Model Overview (Descriptions of files and how they correspond to conceptual model)

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File Descriptions

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Breast Cancer R21: UIC-UChicago collaboration

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