time-dependent-roc

Research

Use when performing time-dependent ROC curve analysis for survival data with follow-up time, event status, and a numeric marker. Supports CSV/TXT/TSV/Excel input, `risk_score` as the default marker unless `--marker_col` is provided, parameter validation, standardized output directories, AUC table export, ROC point export, and PDF figure generation.

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How to use this skill

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Source SKILL.md: https://github.com/aipoch/medical-research-skills/blob/HEAD/awesome-med-research-skills/Data%20Analysis/time-dependent-roc/SKILL.md

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Source: https://github.com/aipoch/medical-research-skills

Time-Dependent ROC Analysis

Use this skill to compute and plot time-dependent ROC curves for survival outcomes.

Use This Skill When

You have survival data with futime and fustat columns.
You need time-specific ROC curves and AUC values for a numeric risk marker.
You want a command-line workflow with parameter validation and standardized outputs.
Your file contains a numeric marker column named risk_score, or you will provide another marker explicitly with --marker_col.

Primary Command

Rscript scripts/main.R \
  --data_file <input_file> \
  --times <comma_separated_times> \
  --output_dir <output_dir>

Prerequisites

Rscript is available in the shell.
Required R packages: optparse, timeROC, survival, ggplot2.
Optional package for Excel input: openxlsx.
Install missing packages with Rscript -e 'install.packages(c("optparse", "timeROC", "survival", "ggplot2", "openxlsx"), repos="https://cloud.r-project.org")'.

Core Arguments

Argument	Required	Description
`--data_file`	Yes	Input data file in CSV, TXT, TSV, TAB, XLS, or XLSX format
`--times`	No	Prediction time points, comma-separated. Default `1,3,5`
`--marker_col`	No	Marker column name. Default `risk_score`; provide this option when your file uses a different marker
`--output_dir`	No	Output directory, default `./TimeROC_Results`
`--time_unit`	No	Time unit label for plot/output: `year`, `month`, or `day`. Default `year`
`--auto_convert_days`	No	If `TRUE`, convert large `futime` values from days to the selected unit when appropriate. Default `TRUE`
`--weighting`	No	IPCW weighting method: `aalen`, `marginal`, or `cox`. Default `aalen`
`--cause`	No	Event code treated as the outcome of interest. Default `1`

Input Requirements

The input file must contain futime and fustat columns.
The selected marker column must exist and be numeric or coercible to numeric.
If --marker_col is omitted, the input file must contain risk_score.
futime must be numeric or coercible to numeric.
fustat must be numeric or coercible to numeric.
Rows with missing futime, fustat, or marker values are excluded.
At least 5 complete rows and at least 1 event for the requested cause are required.

Example input:

id	fustat	futime	risk_score	risk_group	GPR161	RIBC2
TCGA-C5-A1M5	1	5.6219	-1.1070	low	2.8252	5.3532
TCGA-EA-A5O9	0	2.1589	-0.8964	low	2.6046	4.4293
TCGA-C5-A3HL	0	1.7014	-0.9044	low	4.1248	4.9166

Minimal Workflow

Confirm the input file exists and includes futime, fustat, and risk_score, or plan to pass --marker_col.
Run scripts/main.R with the requested time points.
Check the output directory for the AUC table and PDF figure.

If you omit --data_file, the script exits with SKILL_MISSING_INPUT.

Outputs

Expected output structure:

<output_dir>/
├── data/
│   └── time_roc_points.<csv|txt>
├── session_info.txt
├── figure/
│   └── time_roc.pdf
└── table/
    └── time_roc_auc.<csv|txt>

Primary output files:

data/time_roc_points.csv or data/time_roc_points.txt
table/time_roc_auc.csv or table/time_roc_auc.txt
figure/time_roc.pdf
session_info.txt

Exported result fields include:

time
time_unit
auc
marker_col
n_complete
n_events

Exported ROC point fields include:

false_positive_rate
sensitivity
time
time_unit
auc
curve_label

Read These Files When Needed

Need	File
Statistical details and assumptions	`references/algorithm.md`
More CLI examples	`references/cli-guide.md`
Error diagnosis	`references/troubleshooting.md`
Main execution entry point	`scripts/main.R`
Sample test data	`tests/data/`

Quick Examples

Basic analysis:

Rscript scripts/main.R \
  --data_file tests/data/time_roc_sample1.txt \
  --times 1,3,5 \
  --output_dir tests/output_basic

Specify marker column and plot styling:

Rscript scripts/main.R \
  --data_file tests/data/time_roc_sample2.txt \
  --marker_col GPR161 \
  --times 1,2,4 \
  --line_colors "#4DBBD5,#E64B35,#00A087" \
  --legend_position bottom \
  --output_dir tests/output_gpr161

Validation

Rscript scripts/main.R --help

Rscript scripts/main.R \
  --data_file tests/data/time_roc_sample1.txt \
  --times 1,3,5 \
  --output_dir tests/validation_output

After running analysis, verify that these files exist:

tests/validation_output/data/time_roc_points.csv
tests/validation_output/table/time_roc_auc.csv
tests/validation_output/figure/time_roc.pdf
tests/validation_output/session_info.txt

Common Errors

SKILL_FILE_NOT_FOUND: Input file path is wrong or inaccessible.
SKILL_MISSING_COLUMNS: futime or fustat is missing.
SKILL_INVALID_DATA: The marker column is non-numeric, no complete rows remain, event coding is unsuitable, or requested time points yield unusable AUC values.
SKILL_INVALID_PARAMETER: An argument value is invalid.
SKILL_INSUFFICIENT_DATA: Too few complete rows or no target events remain.
SKILL_DEPENDENCY_MISSING: A required R package such as optparse, timeROC, survival, ggplot2, or openxlsx is unavailable.

If the issue is not obvious, read references/troubleshooting.md.