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
150$
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.
Meet Your 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.
📌 Program Coordinator: Dr. Mohammed Hammam
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.
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 Analysis
Module Quiz + Graduation Project for each section.
Includes clinical-focused examples — not just theory.
R Templates & Practical Scripts (Clinical Research)
Ready-to-use scripts to speed up your work (cleaning, tests, regression, plots).
Certificate of Completion from Negida Academy
Access to Negida Academy Community
Ask questions, learn from others, and stay connected.
Discounts on future Negida Academy programs
Who This Course Is For?
- Medical students & postgraduate trainees
- Physicians (GPs / residents/specialists/consultants).
- Researchers & academicians (clinical trials, observational studies, SR/MA).
- Beginners in R (no programming experience) + intermediate users aiming for publication-quality analysis.
