le-huynh / hoang_sbsn_clinimmunol_2022

Code, results of Bayesian data analysis, and documents related to SBSN data

Measurement of anti-suprabasin antibodies, multiple cytokines and chemokines as potential predictive biomarkers for neuropsychiatric systemic lupus erythematosus

Trang T T Hoang, Kunihiro Ichinose, Shimpei Morimoto, Kaori Furukawa, Ly H T Le, Atsushi Kawakami

DOI: 10.1016/j.clim.2022.108980

Citation:

Hoang, T. T. T., Ichinose, K., Morimoto, S., Furukawa, K., Le-Huynh, T.-L., Kawakami, A. (2022). Measurement of anti‑suprabasin antibodies, multiple cytokines and chemokines as potential predictive biomarkers for neuropsychiatric systemic lupus erythematosus. Clinical Immunology, 237(March), 1–8.

More info

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This repo includes all data, code, results of Bayesian data analysis, and documents related to SBSN data.

Repo Overview

project
|- README.md       # the top level description of content (this doc)
|
|- manuscript/
| |- manuscript.Rmd    # executable Rmarkdown for Bayesian analysis
| |- manuscript.pdf    # PDF version of *.Rmd file
| |- SBSN.bib          # BibTeX formatted references
| +- other files       # optional files utilized for exporting the .Rmd file to the .pdf format (safe for deletion)
|
|- data           # raw and primary data, are not changed once created
| |- SBSN.csv                          # raw data, will not be altered
| |- Full SBSN 2021.6.8.xlsx           # raw data, will not be altered
| |- code_book.md             # note about raw data
| |- Analysing note.docx      # note about raw data
| +- cp/     # cleaned data, related to Cutoff analysis
|   |- cutoff_.csv            # data for Cutoff analysis
|   +- cp_.csv                # posterior data (downloaded from SAS)
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|- final_cutoff/    # final code, result, posterior data for Cutoff analysis in SAS
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|- code/          # any programmatic code
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|- results        # all output from workflows and analyses
| |- tables/      # text version of tables to be rendered with kable in R
| |- figures/     # graphs, likely designated for manuscript figures
| +- pictures/    # diagrams, images, and other non-graph graphics
|
|- notebook/      # exploratory data analysis for this study
|
+- Makefile       # executable Makefile for this study