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ALI Motor Control Public Data Release

This repo contains the data and scripts associated with the manuscript entitled Relating Surgeon Proficiency Scores to Maturation of Visuomotor Skill during Training

Contents

  • data/ali_counts_deidentified.csv: wide-format public data, one row per participant.
  • data/ali_counts_long_deidentified.csv: long-format public data, one row per participant-session.
  • data/data_dictionary.csv: variable definitions.
  • data/error_codebook.csv: definitions for E1-E10 ALI error categories.
  • figure_assets/ali_error_examples/: source image panels used for ALI error examples.
  • figure_assets/generated_figures/: final generated figures used in the manuscript.
  • scripts/run_significance_analysis.py: statistical significance analysis using the de-identified public data.
  • scripts/plot_error_count_significance_figures.py: regenerates the two grouped error-count figures with significance brackets from the de-identified public data.
  • requirements.txt: Python package requirements for the public scripts.

ALI Error Classification Tree

ALI error classification tree

ALI Error Examples

ALI error examples grouped by error type

De-identification

The public tables remove participant names and source subject numbers. Participants are relabeled as P01, P02, etc.

Reproduce Significance Outputs

Install requirements:

python -m pip install -r requirements.txt

Run significance tests:

python scripts/run_significance_analysis.py

This writes:

results/significance_results.csv

Regenerate the grouped error-count figures with significance brackets:

python scripts/plot_error_count_significance_figures.py

This writes:

figure_assets/generated_figures/error_counts_sessions_overall_grouped_global_ylim.png
figure_assets/generated_figures/error_counts_sessions_box_by_occupation_grouped_global_ylim.png