Master R in Biostatistics for Clinical Research
From Basics to Mastery
Go from “I don’t know where to start” → to running real clinical analyses confidently in R
About the Course
60 recorded lectures
(avg. 30 mins each)
Released after video content completion
Announced at launch (waitlist discounts available)
This comprehensive course is designed to teach R programming and biostatistics with direct applications in clinical research.
You will learn how to manage, analyze, and visualize data, apply advanced statistical tests, perform regression modeling, and conduct meta-analyses, network meta-analyses, and diagnostic accuracy studies.
The program bridges the gap between statistical theory and hands-on data analysis, empowering healthcare professionals and researchers to publish high-quality, evidence-based studies.
What Makes This Course Different
(What You’ll Actually Learn?)
Most courses = videos only.
This program is built as a practical training path:
- Hands-on practice in every module using real datasets.
- A quiz after each module to test your theoretical understanding.
- Module Graduation Project (required)
You must pass the project before entering the next module. - Step-by-step workflow like real clinical research:
Import → Clean → Analyze → Visualize → Interpret → Report.
Why This Course Matters?
Many clinicians and researchers struggle with statistics because they learn theory… without real hands-on analysis.Most courses = videos only.
This course bridges the gap between biostatistics concepts and practical clinical research analysis in R / RStudio — so you can:
- Clean and prepare real datasets.
- Run the correct statistical tests.
- Build regression models.
- Perform meta-analysis (including Network Meta-analysis and Diagnostic Accuracy).
- Create clear tables and plots for papers and presentations.
Instructor
Dr. Mohammed Tarek.
- General Practitioner with over 5 years of experience in clinical research.
- 3+ years expertise in biostatistics using R.
- Author of 40+ international publications.
- Specialized in study design, advanced data analysis, and evidence-based medicine.
đź“Ś Program Coordinator: Dr. Mohammed Hammam
Course Overview – What You’ll Learn
(1) R Basics
(2) Data Manipulation + Descriptive Statistics
(3) Comparing Means & Group Differences
(4) Regression Analysis (Clinical-Ready Modeling)
(5) Categorical Analysis + Effect Measures
(6) Meta-Analysis + Network Meta-Analysis in R
AI Tools in Data AnalysisÂ
Includes clinical-focused examples — not just theory.
Why Join the Waitlist?
- Be the first to know when enrollment opens
- Get a special launch discount available only for waitlist members
- Receive bonus handouts and scripts upon release.
Join the Waiting List Now
Enter your email to get updates, bonus content, and the exclusive discount code when the course goes live.
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