CU6: Advanced Statistical Modelling
Course Summary
This course provides advanced training in statistical modelling, covering critical methodologies for data preprocessing, exploratory data analysis, and sophisticated statistical techniques. Students will learn to implement generalized linear models with various link functions, polynomial regression, spline regression models, generalized additive models, survival analysis, and longitudinal data analysis. The course emphasizes practical application and interpretation of statistical techniques aligned with specific research objectives.
Course Highlights
- Exploratory Data Analysis and Data Preprocessing Techniques
- Generalized Linear Models and Link Functions
- Polynomial and Spline Regression Models
- Generalized Additive Models
- Survival Analysis and Time-to-Event Data
- Longitudinal Data Analysis Techniques
- Practical Application and Interpretation of Statistical Results
Instructors
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For further information regarding the detailed syllabus, evaluation methods, learning outcomes, and recommended literature, please consult the official course documentation.