Biostatistical Analysis using R programming​

This course provides a comprehensive training in biostatistics with hands-on training using R software. Students will learn essential statistical concepts and methods used in health science and medical research. The course also provides foundational programming skills in R, enabling students to write scripts, manage datasets, and perform statistical analyses. Through real-world examples and datasets, the course covers descriptive and inferential statistics, regression models, and survival analysis. Emphasis is placed on the interpretation of results and application of statistical techniques in health-related research. In Bright Health Science, this course is instructed by Dr. Mohammad Ali Omrani.

Basic knowledge in health sciences is required. No prior experience with R or prior training in statistics is necessary.

By the end of the course, students will be able to:

 • Understand and apply basic statistical concepts in health and medical research

 • Use R to perform data analysis and visualize data

 • Conduct hypothesis tests and interpret p-values and confidence intervals

 • Calculate and interpret effect sizes such as risk ratios and odds ratios

 • Apply appropriate parametric and non-parametric tests

 • Conduct and interpret linear and logistic regression analyses

 • Perform survival analysis and interpret Kaplan-Meier curves and hazard ratios

. Develop foundational programming skills in R for data analysis and reproducible research