An applied paper with the emphasis on data analysis. Topics covered include nonlinear regression, log-linear modelling, logistic, multinomial and ordinal regression and survival models including Kaplan-Meir model and Cox proportional hazard model.
|Paper title||Regression and Modelling 2|
|Teaching period||First Semester|
|Domestic Tuition Fees (NZD)||$886.35|
|International Tuition Fees (NZD)||$3,766.35|
- STAT 241
- HASC 415
- Schedule C
- Arts and Music, Science
- Any student interested in techniques that can be used to model a very broad range of datasets.
- More information link
- View more information about STAT 341
- Teaching staff
- Dr Matthew Parry
- Paper Structure
- Main topics:
- Generalised linear models
- Use of logistic and Poisson models
- Model checking and model selection
- Bayesian generalised linear models
- Compositional data
- Log-linear models
- Nonlinear regression models
- Response feature analysis
- Mixed effects models
- Teaching Arrangements
- Five 1-hour lectures per fortnight, plus one 2-hour tutorial per week.
- Textbooks are not required for this paper.
- Course outline
- View course outline for STAT 341
- Graduate Attributes Emphasised
- Communication, Critical thinking.
View more information about Otago's graduate attributes.
- Learning Outcomes
- Students who successfully complete the paper will demonstrate in-depth understanding of the central concepts.