Reproducible Research

Under construction

• Reproducibility is defined as obtaining consistent results using the same data and code as the original study (synonymous with computational reproducibility).
• Replicability means obtaining consistent results across studies aimed at answering the same scientific question using new data or other new computational methods.

Reproducibility and Replicability in Research

Use version control (git or svn)

• Do not track model development in git, it is too messy, which messes with the git history.
  • Use rsync if needed
  • Track the Rmd-file for the report
  • This tracks the models. The models are still in the “messy” folder.
    • base_model <- run25.mod
    • covariate_model <- run63.mod
    • final_model <- run67.mod
    • simulation_model <- run68.mod
  • Runrecord
    • runno
    • based on
    • OFV
    • dOFV
    • Condition number (CN)
• Do not track produced PDFs in git

File/folder naming

• Name files/folders using only A-Z, a-z, 0-9, -, _.
  • Start folder names with a number for sorting purposes.
• In general, use kebab-case for naming (easier to read than snake_case).
  • If there are multiple parts to a name (e.g., a description, a date, and an author), use snake_case to separate between parts, and kebab-case within the parts (e.g., descriptive-name_2025-01-08_viktor-rognas.ext)

Folder structure:

project/
  - README.md       # Project description
  - input/
    - data/         # All input data files
      - raw_data/   # Untouched original data files
        - raw_data.csv
      - dat1.csv
      - dat2.csv
  - R/              # R-scripts
      - dat1.R
      - dat2.R
  - NONMEM/
    - model/        # Model files
      - pk/
        - run001.mod
      - pd/
        - run002.mod
  - output/         # Results
    - report/
      - 1a/
        - .tex
        - .pdf
      - 1b/
        - .tex
        - .pdf
      - 1/
        - .tex
        - .pdf
    - presentation/ # Communication
      - slides.pptx

Coding

R

• Script all plots.
• Quarto-scripted report.
  • R.version
  • rstudioapi::versionInfo()
  • .packages()
  • devtools::session_info(pkgs = "attached")

NONMEM

When using Monte-Carlo estimation methods (e.g., SAEM, IMP, or FOCE MCETA)), always specify the SEED option and RANMETHOD=P. Also, it is recommended to specify the RANMETHOD option accordingy: * For SAEM and IMP: RANMETHOD=3S2P * For MCETA:RANMETHOD=4P($SIMULATION` uses this method by default)