This case is a demonstration using public example data. It is not clinical advice, not a publication guarantee, and not a claim that any particular analysis is suitable for every heart failure study. The goal is to show what a transparent analysis package can look like.
Case overview
| Example topic | Heart failure survival analysis and Cox regression workflow. |
|---|---|
| Data type | Structured public example dataset with clinical variables. |
| Review focus | Can a researcher inspect the method choices, numbers, figures, and reproducibility trail? |
| Outputs shown | Kaplan-Meier curve, Cox forest plot, method-selection screenshot, number reconciliation screenshot, reference verification screenshot, code reproducibility screenshot. |
Output 1: survival curve
Kaplan-Meier survival curve from the public demo package. The purpose is to demonstrate a reviewable figure output, not to make clinical recommendations.
Output 2: Cox regression forest plot
Forest plot example for Cox regression output. Any real analysis should be checked for model assumptions, covariates, event counts, and clinical plausibility.
Output 3: method selection notes
Method-selection notes should explain the data structure, assumptions, alternatives, and final choice so a researcher or statistician can review the workflow.
Output 4: number reconciliation
Number reconciliation helps check whether key sample sizes, hazard ratios, confidence intervals, and p-values are consistent across outputs.
Output 5: reference verification
Reference verification is designed to make citations traceable. Researchers should still verify final references before submission.
Output 6: reproducibility materials
When included in scope, reproducibility materials can make it easier to rerun analyses, inspect assumptions, and respond to reviewer questions.
What this case demonstrates
- A useful research-support deliverable should show the analysis path, not only the final manuscript text.
- Figures should be connected to tables, methods, assumptions, and number checks.
- References should be traceable to verifiable records where available.
- Researchers should be able to review, revise, and take responsibility for all final claims.
Download the public demo package
The package includes public example data, analysis materials, figures, statistical tables, and reconciliation materials for inspection.
Download demo ZIP How the workflow works