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STAT341 Regression and Modelling 2

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
Paper code STAT341
Subject Statistics
EFTS 0.1500
Points 18 points
Teaching period First Semester
Domestic Tuition Fees (NZD) $886.35
International Tuition Fees (NZD) $3,766.35

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Prerequisite
STAT 241
Restriction
HASC 415
Schedule C
Arts and Music, Science
Eligibility
Any student interested in techniques that can be used to model a very broad range of datasets.
Contact
twang@maths.otago.ac.nz
Teaching staff
Dr Matthew Parry
Paper Structure
Main topics:
  • Generalised linear models
  • Use of logistic and Poisson models
  • Model checking and model selection
  • Overdispersion
  • 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
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.

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Timetable

First Semester

Location
Dunedin
Teaching method
This paper is taught On Campus
Learning management system
Other

Lecture

Stream Days Times Weeks
Attend
L1 Monday 14:00-14:50 9-16, 18-22
Wednesday 14:00-14:50 9-16, 18-22
AND
M1 Friday 14:00-14:50 9, 11, 14-15, 18, 20, 22

Tutorial

Stream Days Times Weeks
Attend
T1 Monday 15:00-16:50 10-16, 18-21