Last modified: 25 Sep 2019 09:58
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.
|Session||Second Sub Session||Credit Points||15 credits (7.5 ECTS credits)|
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.
Information on contact teaching time is available from the course guide.
|Assessment Weeks||30||Feedback Weeks||32|
Feedback given in class.
|Assessment Weeks||29||Feedback Weeks||29|
Feedback via MyAberdeen.
There are no assessments for this course.
|Knowledge Level||Thinking Skill||Outcome|
|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.|
|Procedural||Create||Use statistical software to carry out analyses and apply the methods and tools covered in the course.|