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Last modified: 07 Dec 2020 10:40

Course Overview

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.

Course Details

Study Type Postgraduate Level 5
Session Second Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study No
  • Dr Daniel Vogel

What courses & programmes must have been taken before this course?

  • Any Postgraduate Programme

What other courses must be taken with this course?


Are there a limited number of places available?


Course Description

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.

Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

  • 2 Practicals during University weeks 28 - 30

More Information about Week Numbers

In light of Covid-19 and the move to blended learning delivery the assessment information advertised for courses may be subject to change. All updates for first-half session courses will be actioned no later than 1700 (GMT) on 18 September 2020. All updates for second half-session courses will be actioned in advance of second half-session teaching starting. Please check back regularly for updates.

Summative Assessments

Online class test (25%)

Online exam (75%)

Resit (for students taking the course in AY20/21)

Online test


Formative Assessment

There are no assessments for this course.

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
ReflectionEvaluateHave a broad overview of common statistical tools, their purpose, and scope of applicability.
ProceduralCreateUse statistical software to carry out analyses and apply the methods and tools covered in the course.
ReflectionCreateUnderstand the basic principles of statistical modelling and are able to apply it to new situations.

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