This national course is open to PhD students, postdocs, and staff in the life sciences who need biostatistical skills in their research. Using real research examples, the course introduces core ideas of statistical inference and guides participants through widely used models such as regression, mixed-effects models for repeated or hierarchical data, and survival analysis. The course is suitable both for those with limited prior training and for researchers already applying statistical methods who want a stronger conceptual foundation to confidently choose, apply, and interpret statistical analyses in their own work.

This course is similar to our previous course Introduction to Biostatistics and Machine Learning course, but with a stronger focus on statistical methods.