STATS 763 : Advanced Regression Methodology
2021 Semester One (1213) (15 POINTS)
Capabilities Developed in this Course
|Capability 1:||Disciplinary Knowledge and Practice|
|Capability 2:||Critical Thinking|
|Capability 3:||Solution Seeking|
|Capability 4:||Communication and Engagement|
|Capability 5:||Independence and Integrity|
|Capability 6:||Social and Environmental Responsibilities|
- Describe the components of the generalized linear model and identify suitable applications for different types of glm's. (Capability 1 and 4)
- Understand and explain how regression modelling is affected by measurement error, missing data, sampling, and censoring (Capability 1, 3 and 4)
- Use cross-validation to select a suitable predictive model for a given data set and evaluate the precision of the model. (Capability 1 and 3)
- Create a causal graph for a given scenario and use the graph to identify confounding among the explanatory variables. (Capability 1, 2, 3 and 4)
- Use bootstrapping to create sampling distributions for the parameters of a generalised linear model. (Capability 1 and 3)
- Use a fitted regression model to answer specific questions about the relationship between the explanatory variables and the response. (Capability 1, 2 and 4)
- Explore relationships between variables using appropriate graphical techniques. (Capability 1 and 2)
- Explain the ethical risks of both accurate and inaccurate predictive modelling in society (Capability 1, 2, 5 and 6)
- Understand and explain how inference in generalised linear models relies on assumptions about the data-generating process (Capability 1, 2, 4 and 5)
|Final Exam||50%||Individual Examination|
|Assessment Type||Learning Outcome Addressed|
This course is a standard 15 point course and students are expected to spend 150 hours per semester involved in each 15 point course that they are enrolled in.
For this course, you can expect about 3 hours of lectures, a 1 hour tutorial, 2 hours of reading and thinking about the content and 6 hours of work on assignments and/or test preparation per week.
Attendance is expected at scheduled activities including labs to complete components of the course.
Lectures will be available as recordings. Other learning activities including labs will not be available as recordings.
The course will not include live online events.
Attendance on campus is required for the test and exam
The activities for the course are scheduled as a standard weekly timetable.
During the course Class Representatives in each class can take feedback to the staff responsible for the course and staff-student consultative committees.
At the end of the course students will be invited to give feedback on the course and teaching through a tool called SET or Qualtrics. The lecturers and course co-ordinators will consider all feedback.
Your feedback helps to improve the course and its delivery for all students.
Course materials are made available in a learning and collaboration tool called Canvas which also includes reading lists and lecture recordings (where available).
Please remember that the recording of any class on a personal device requires the permission of the instructor.
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This should be done as soon as possible and no later than seven days after the affected test or exam date.
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Student Charter and Responsibilities
The Student Charter assumes and acknowledges that students are active participants in the learning process and that they have responsibilities to the institution and the international community of scholars. The University expects that students will act at all times in a way that demonstrates respect for the rights of other students and staff so that the learning environment is both safe and productive. For further information visit Student Charter https://www.auckland.ac.nz/en/students/forms-policies-and-guidelines/student-policies-and-guidelines/student-charter.html.
Elements of this outline may be subject to change. The latest information about the course will be available for enrolled students in Canvas.
In this course you may be asked to submit your coursework assessments digitally. The University reserves the right to conduct scheduled tests and examinations for this course online or through the use of computers or other electronic devices. Where tests or examinations are conducted online remote invigilation arrangements may be used. The final decision on the completion mode for a test or examination, and remote invigilation arrangements where applicable, will be advised to students at least 10 days prior to the scheduled date of the assessment, or in the case of an examination when the examination timetable is published.