Last modified: 05 Aug 2021 13:04
In this module we will discuss advanced and cutting-edge statistical tools and techniques.
Some of the topics covered are likelihood, advanced hypothesis testing, outlier detection, data imputation, bootstrap, nonparametric regression and mixed effect models.
| Study Type | Postgraduate | Level | 5 |
|---|---|---|---|
| Term | First Term | Credit Points | 15 credits (7.5 ECTS credits) |
| Campus | Aberdeen | Sustained Study | No |
| Co-ordinators |
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In this module we will discuss advanced and cutting-edge statistical tools and techniques. Some of the topics covered are Likelihood, advanced hypothesis testing, bootstrapping, outlier detection, imputation, and mixed effect models. Predicting effect sizes and medical study planning will also be part of this course.
| Assessment Type | Summative | Weighting | 75 | |
|---|---|---|---|---|
| Assessment Weeks | 30 | Feedback Weeks | 32 | |
| Feedback |
Feedback given in class. |
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| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Procedural | Create | Use statistical software to carry out analyses and apply the methods and tools covered in the course. |
| Reflection | Create | Understand the basic principles of statistical modelling and are able to apply it to new situations. |
| Reflection | Evaluate | Have a broad overview of common statistical tools, their purpose, and scope of applicability. |
| Assessment Type | Summative | Weighting | 25 | |
|---|---|---|---|---|
| Assessment Weeks | 29 | Feedback Weeks | 29 | |
| Feedback |
MyAberdeen test. Feedback via MyAberdeen. |
|||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Procedural | Create | Use statistical software to carry out analyses and apply the methods and tools covered in the course. |
| Reflection | Create | Understand the basic principles of statistical modelling and are able to apply it to new situations. |
There are no assessments for this course.
| Assessment Type | Summative | Weighting | 100 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
|
|
||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Reflection | Create | Understand the basic principles of statistical modelling and are able to apply it to new situations. |
| Procedural | Create | Use statistical software to carry out analyses and apply the methods and tools covered in the course. |
| Reflection | Evaluate | Have a broad overview of common statistical tools, their purpose, and scope of applicability. |
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