AMRBiostats
Accurate, Modern, and Reliable Biostatistics
AMRBiostats helps students, researchers, and health professionals learn biostatistics and R programming with accurate explanations, reproducible examples, and practical interpretation.
Accuracy first
Reproducible R
AMRBiostats
Question
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Data
12Y31
18N9
Cleaning
Modeling
Reporting
What you will find here
A clear, guided route from concept to conclusion
Every resource is designed to help you grasp complex concepts, choose appropriate techniques, run reproducible analyses, and communicate results clearly.
Courses
Structured learning paths for beginners and advanced users.
Code examples
R code that is readable, reproducible, and connected to the statistical question.
Articles
Focused explanations of statistical ideas, common misconceptions, and practical analysis choices.
Consultation
Personalized support for biostatistics questions, research planning, and one-to-one coaching.
Where to start
Choose the path that matches your next question
Refresh your mathematical foundations, dive into applied biostatistics, or build practical R skills through structured courses.
Foundation
Maths Refresher
Revisit notation, logarithms, matrices, limits, differentiation, and integration to understand statistical methods with confidence.
Start refreshing
Applied learning
Biostatistics
Learn variables, descriptive statistics, probability, hypothesis testing, and statistical modeling, with interpretation for health research.
Start learning
Guided learning
Courses
Build practical R skills through live online courses and prerecorded videos
Explore courses
Need guidance?
Bring your research question, leave with a clearer analysis plan
Request consultation or coaching when you need help choosing a method, interpreting results, planning a course, or translating statistical output into research language.
Open material and future learning options
The open educational material currently published on this website is licensed under the Creative Commons Attribution 4.0 International License. You may reuse and redistribute those open materials provided the author is credited as:
Amr Mahmoud (2024). AMRBiostats: amraamahmoud/amrbiostats_website. Zenodo. https://doi.org/10.5281/zenodo.13737929
If subscriber-only or paid learning material is added later, it may be offered under separate access terms that will be stated clearly on the relevant pages.
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