course overview
Why this course matters
Explore methods for real-world evidence and observational research, including data quality, clinical context, confounding control, and transparent communication of findings.
Advanced · 26h · EN
Real-World Evidence & Observational Research
Apply rigorous methods to real-world clinical data questions.
2Modules
26hDuration
✓Certificate
What you'll learn
- Identify common sources of bias in observational data
- Prepare and clean data for research analysis
- Choose appropriate study designs and analytical methods
- Communicate limitations and risks to clinical stakeholders
Who this course is for
- →Clinical researchers, health data analysts, and research coordinators
Requirements
- •Basic familiarity with clinical research data
- •Foundational clinical research knowledge is useful
Evidence-Based MedicineBiostatisticsClinical DataResearch Methods
learning path
Course syllabus
2 modules · step-by-step learning path
- Clinical Questions and Study Objectives 45 min Preview
- Clinical Data: Origins and Quality 55 min Preview
- Bias, Confounding, and Validation 65 min
- Transparent Communication of Findings 50 min
M
instructor
Mahmoud Ezzat
cta
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