**Introduction**
This repository contains the code used for the analyses presented in our article titled "Extended reality used in the treatment of phantom limb pain: a multicenter, double-blind, randomized controlled trial," published in the journal Pain. This page provides an overview of the repository contents, instructions on how to use the code, and additional resources.
**Original article**
Lendaro, E., Van der Sluis, C.K., Hermansson, L., Bunketorp-Käll, L., Burger, H., Keesom, E., Widehammar, C., Munoz-Novoa, M., McGuire, B.E., Reilly, P.O., Earley, E.J., Iqbal, S., Kristoffersen, M.B., Stockselius, A., Gudmundson, L., Hill, W., Diers, M., Turner, K.L., Weiss, T., Ortiz-Catalan, M. (2024). Extended reality used in the treatment of phantom limb pain: a multicenter, double-blind, randomized controlled trial. Pain. doi: 10.1097/j.pain.0000000000003384. Epub ahead of print. PMID: 39250328.
**Repository Contents**
code/: Contains all the Matlab scripts used in data processing and analysis.
The raw data is available as a supplement of the original article
**Prerequisites**
MATLAB 2021 or later
Add all necessary paths to MATLAB using the addpath function
**Running the analyses**
For a direct replication of the results of the manuscript it is necessary to use the pre-imputed data:
addpath('path to folder with .mat file');
load('workspace2023-01-21 111215.mat'); % Load saved workspace
For running the analysis starting from raw data, download the excel file provided as supplementary material to the article:
file = [folder 'data_for_stats_v3.xlsx']; load_data(); % Load and format the data
If starting with raw data it is necessary to perform data imputation.
Run each analysis cell as needed by executing the cell in MATLAB. Each cell corresponds to different stages of the analysis:
1. Baseline Data Distribution
2. Primary and Secondary Analyses (Intention-to-Treat and Per-Protocol)
3. Exploratory Analyses
4. Sensitivity Analyses
5. ANCOVA Analyses
6. Subgroup Analyses
7. Odds Ratios
8. Trend Plotting
9. Exponential Decay Modeling
10. Bayes Factor Calculation
11. Saving Results
Results are saved automatically in designated folders created at the beginning of the 'main' script.
Ensure the folder paths are correctly set up as per your directory structure.
