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Dynamic Patterns of Symptoms and Functioning in Predicting Deliberate Self-harm in Patients with First-Episode Schizophrenia-Spectrum Disorders Over 3 Years.

Last update: 31 Aug 2022

Description

The code repository for the paper.

Folder Structure

├── README.md
├── data
│   ├── processed (upon request)
│   └── raw
├── longitudinal_selfharm.Rproj
├── outputs
│   ├── figs
│   │   ├── boxplot_data-imputation_prediction_results.pdf
│   │   ├── boxplot_mod-rf_data-cf_desc-prediction_results.pdf
│   │   ├── boxplot_model-rf_data-cf_desc-36m_classification_comparisons.pdf
│   │   ├── boxplot_model-rf_data-cf_desc-prediction_results_12mto12m.pdf
│   │   ├── boxplot_model-rf_data-cf_desc-prediction_results_12mto6m.pdf
│   │   ├── boxplot_model-rf_data-cf_desc-prediction_results_6mto12m.pdf
│   │   ├── boxplot_model-rf_data-cf_desc-prediction_results_6mto6m.pdf
│   │   ├── data-cf_desc-longitudial_change.pdf
│   │   ├── data-cf_desc-tvmvar_lag1.pdf
│   └── tables
│       ├── data-cf_desc-dsh_group_comparison.docx
│       ├── data-cf_desc-dsh_group_comparison.html
│       ├── data-cf_desc-models_comparison.docx
│       ├── data-cf_desc-models_comparison.html
│       ├── data-cf_desc-self_category_comparison.docx
│       ├── data-cf_desc-self_category_comparison.html
│       ├── data-cf_model-rf_desc-all_perfromances_selfharm_events.docx
├── scripts
│   ├── 01_a_clean_cf_dataset.R
│   ├── 01_b_clean_imp_dataset.R
│   ├── 02_a_regression.R
│   ├── 03_a_tvmvar_cf.R
│   ├── 04_a_classification_selfharm36m.R
│   ├── 05_a_prediction_6mto6m.R
│   ├── 06_a_prediction_6mto12m.R
│   ├── 07_a_prediction_12mto6m.R
│   ├── 08_a_prediction_12mto12m.R
│   ├── 09_a_prediction_performance.R
└── src
    └── R
        ├── tables.R
        └── visualization.R

We have two sets of scripts.

The first set of scripts using carry forward data.
1. 01_a_clean_cf_dataset.R
2. 02_a_regression.R
3. 03_a_tvmvar_cf.R
4. 04_a_classification_selfharm36m.R
5. 05_a_prediction_6mto6m.R
6. 06_a_prediction_6mto12m.R
7. 07_a_prediction_12mto6m.R
8. 08_a_prediction_12mto12m.R
9. 09_a_prediction_performance.R

The second set of scripts using imputed data.
1. 01_b_clean_cf_dataset.R
2. 02_b_regression.R
3. 03_b_tvmvar_cf.R
4. 04_b_classification_selfharm36m.R
5. 05_b_prediction_6mto6m.R
6. 06_b_prediction_6mto12m.R
7. 07_b_prediction_12mto6m.R
8. 08_b_prediction_12mto12m.R
9. 09_b_prediction_performance.R

Setup

Start the RStudio via longitudinal_selfharm.Rproj.

Usage

How to run the scripts

Step 1. Data Cleaning and Preprocessing
Step 2. Regression Models
Step 3. Time Varying Vector Autoregressive Model
Step 4. Classifying Indiviudals with and without Self-harm
Step 5. Future Self-harm Events Prediction (with 6m information to 6m prediction window)
Step 6. Future Self-harm Events Prediction (with 6m information to 12m prediction window)
Step 7. Future Self-harm Events Prediction (with 12m information to 6m prediction window)
Step 8. Future Self-harm Events Prediction (with 12m information to 12m prediction window)
Step 9. Visualization and Table for Prediction Models

Citation

@article{10.1093/schbul/sbac057,
    author = {Wong, Ting Yat and Chan, Sherry Kit Wa and Cheung, Charlton and Lai Ming Hui, Christy and Suen, Yi Nam and Chang, Wing Chung and Lee, Edwin Ho Ming and Chen, Eric Yu Hai},
    title = "{Dynamic Patterns of Symptoms and Functioning in Predicting Deliberate Self-harm in Patients with First-Episode Schizophrenia-Spectrum Disorders Over 3 Years}",
    journal = {Schizophrenia Bulletin},
    year = {2022},
    doi = {10.1093/schbul/sbac057},
}