vera-data-survival-generating

Server-side extension completing the full analysis pipeline for right-censored survival outcomes after vera-data-survival-reviewing has run. Adds univariate Cox screening, subgroup analysis with strat

SKILL.md

GitHub

Survival Outcome — Full Analysis & Manuscript Generation

Table of Contents

Open-source skill. Read reference/specs/output-variation-protocol.md before every generation — apply all variation layers.

Scope

Right-censored survival data only. Does not handle left-censoring, interval-censoring, or competing risks. Supports time-varying predictors (covariates that change during follow-up) and recurring/recurrent events (same subject experiences the event multiple times).

Workflow

Continues from where vera-data-survival-reviewing stopped (PART 0-2 done).

Step Responsibility Executor Document Input Output
Additional tests Run Additional Tests Main Agent workflow/step04-run-additional-tests.md Prior step output PART 3 code + prose
Subgroup Analyze Subgroups Main Agent workflow/step05-analyze-subgroups.md Prior step output PART 4 code + prose
Modeling Fit Models Main Agent workflow/step06-fit-models.md Prior step output PART 5 code + prose
Comparison Compare Models Main Agent workflow/step07-compare-models.md Prior step output PART 6 code + prose
Manuscript Generate Manuscript Main Agent workflow/step08-generate-manuscript.md Prior step output methods.md + results.md

Additional Inputs

Collect if not already provided:

  • Target discipline (for reporting conventions)
  • Target journal or style (APA 7th, STROBE, CONSORT, etc.)
  • Research question / hypothesis
  • Subgroup variable (if subgroup analysis desired)

Output Structure

output/
├── methods.md
├── results.md
├── tables/             ← Markdown + CSV per table
├── figures/            ← PNGs, 300 DPI
├── references.bib
├── code.R              ← Style-varied
└── code.py             ← Style-varied

Key References (read before generation)

File Purpose
reference/specs/output-variation-protocol.md Output quality variation layers
reference/specs/code-style-variation.md Seven-dimension code style diversity
reference/patterns/sentence-bank.md 4-6 phrasings per result type
reference/rules/reporting-standards.md Hard rules for statistical reporting

Reporting Standards

Same as vera-data-survival-reviewing, plus:

  • HR: always with 95% CI, "HR = X.XX, 95% CI [X.XX, X.XX]"
  • Time ratio (AFT): "TR = X.XX, 95% CI [X.XX, X.XX]" with direction interpretation
  • Median survival: always with 95% CI
  • Survival rates at landmarks: with 95% CI
  • Censoring: always report % censored overall and by group
  • Log-rank: chi-sq(df) = X.XX, p = .XXX
  • Cox global test: LR chi-sq, Wald chi-sq, Score chi-sq
  • Concordance: C = X.XX (note in-sample if no validation)
  • PH assumption: report Schoenfeld test per predictor and globally
  • Coefficients: HR with SE for Cox; TR with SE for AFT
  • Tree-based with small N: frame as "exploratory"; never claim predictive validity
  • p-value rules same as other skills

Cross-Skill Interface

Method Unit Contract:
├── code_r           → .R script (style-varied)
├── code_python      → .py script (style-varied)
├── methods_md       → methods.md (varied structure)
├── results_md       → results.md (varied phrasing)
├── tables/          → Markdown + CSV
├── figures/         → PNGs 300 DPI (varied layout)
├── references_bib   → .bib with cited references
└── comparison       → cross-method narrative (in results.md)

Invoked directly after vera-data-survival-reviewing or orchestrated by vera-data-application-pipelining.