====== Robust ======

In scientific research, robust refers to results, methods, or conclusions that remain valid, reliable, and consistent across a variety of conditions, analyses, or assumptions.

🔎 Key Characteristics of Robust Findings
Resistant to bias from minor methodological changes or confounders.

Reproducible in different datasets, subgroups, or sensitivity analyses.

Supported by multiple lines of evidence (e.g., clinical, biological, statistical).

Not dependent on narrow or arbitrary parameter choices.

📚 In Context
A robust statistical model maintains its predictive accuracy across populations.

A robust conclusion is one that does not collapse under scrutiny or minor variations in study design.

🧠 Example Usage:
“While the study presents statistically significant findings, the absence of stratified analyses and confounder adjustment prevents any claim of robustness.”