clinical-research-pitfalls

What problem does it solve?

This guide helps researchers identify and avoid common methodological pitfalls in ICU database research, such as immortal time bias, information leakage, selection bias, and confounding, ensuring robust and credible findings.

Core Features & Use Cases

• Guided identification of bias types in observational ICU studies.
• Practical corrective techniques with real-world examples from MIMIC-derived datasets.
• Framework for documenting exclusions, checklist-driven study design, and transparent reporting.

Quick Start

Provide a concise, practical plan to identify and mitigate immortal time bias, information leakage, and confounding in ICU data studies.