course overview
Why this course matters
Build practical statistical reasoning for clinical studies, from descriptive summaries and uncertainty to regression, power, and transparent interpretation of results.
Intermediate · 22h · EN
Biostatistics for Clinical Research
Use statistics confidently to interpret clinical evidence.
2Modules
22hDuration
✓Certificate
What you'll learn
- Summarize clinical datasets with appropriate descriptive measures
- Choose and interpret common statistical tests
- Understand confidence intervals, effect sizes, and power
- Communicate statistical results without overstating claims
Who this course is for
- →Medical researchers, clinicians, data managers, and graduate students
Requirements
- •Comfort with percentages and basic algebra
- •A clinical or research context is helpful but not required
Clinical ResearchBiostatisticsClinical DataClinical Research
learning path
Course syllabus
2 modules · step-by-step learning path
- Distributions and Descriptive Measures 45 min Preview
- Comparing Groups Responsibly 50 min Preview
- Confidence Intervals and Statistical Power 55 min
- Regression and Transparent Reporting 60 min
M
instructor
Mahmoud Ezzat
cta
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