Lectures related to Biostatistics

Explores probability distributions for random variables in air pollution and climate change studies, covering descriptive and inferential statistics.

Covers the theory of sampling, focusing on statistics for mathematicians.

Introduces experimental design in biostatistics, covering research process, hypothesis testing, ANOVA modeling, and interpretation of results.

Explores model selection methods in biostatistics, emphasizing the importance of starting with a sensible model.

Explores fractional factorial designs, from types to analysis and model building.

Explores statistical applications of threshold exceedances and GPD modeling in extreme value theory.