Brute Force Cross-Study Analysis

NATASHA: in progress, updating as scripts are updated.

The concept behind Cross-Study Analysis (CSA) is detailed here. The brute force method uses a script to loop through the relevant datasets and splits to execute the Cross-Study Analysis.

Setting up CSA with the Brute Force method

If you are setting up CSA with the Brute Force method for the first time with your model:

• Copy the scripts from `here <>`_ to your model repo.

• Change <MODEL_NAME> to your model name (e.g. graphdrp).

• ADD OTHER CONFIG

• Commit changes to develop branch.

Running CSA with the Brute Force method

1. Clone your model repo:

git clone https://github.com/JDACS4C-IMPROVE/<YOUR_MODEL>
cd <YOUR_MODEL>
git checkout develop

2. Set up and activate your model environment.

3. Set up IMPROVE:

source setup_improve.sh

4. Run CSA

python csa_bruteforce_wf.py

5. Script for scores