Approaches when faced with special conditions in regression, and consequences of ignoring these conditions.
By the end of the course, students are expected to:
Check out the About page for a description of the course.
|lab assignment 1||15%|
|lab assignment 2||15%|
|lab assignment 3||15%|
|lab assignment 4||15%|
Note: Topics covered are conditional on time available.
|1||2019-02-04||Model functions in regression|
|2||2019-02-06||Regression on restricted scales: GLM and transformations|
|3||2019-02-11||Regression beyond the mean Part I: variance, quantiles|
|4||2019-02-13||Regression beyond the mean Part II: probabilistic forecasts, robust regression|
|5||2019-02-25||Regression on censored response data: survival analysis|
|6||2019-02-27||Regression on ordinal response data: proportional odds model|
|7||2019-03-04||Regression in many groups: mixed effects models|
|8||2019-03-06||Regression when data are missing|
If time remains, here are some topics we could cover:
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