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Overview
In this intermediate-level statistics course, you’ll learn key concepts in generalised linear modelling and how to apply them to a range of health outcome data including numerical, binary, count and time-to-event data.
With guidance from expert statisticians, you’ll cover the theory behind different regression models, then take a practical approach to learn how to investigate data in different contexts.
Careers
You’ll gain a strong career advantage as a health-related researcher with this Understanding and Applying Regression Models course at the University of Aberdeen.
Clinical students will gain the skills they need to be able to consider the relative benefits of different drugs and therapies.
The statistical skills you’ll develop can help you:
- pursue a career in research
- apply for research funding
- critically appraise the medical literature, and
- understand the results of health research studies.
Programme Structure
You’ll work through the following six main topics:- Multivariable analysis
- Forms of general linear models
- Diagnosing and building general linear models
- Logistic regression
- Poisson regression
- Survival analysis
Key information
Duration
- Part-time
- 4 months
Start dates & application deadlines
- StartingApply anytime.
Language
English
Duolingo English Test 120
TOEFL® IBT OR
90
PTE Academic 62
IELTS 6.5
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- 98 accuracy using real exam data
- 4.9/5 student rating
Credits
15 alternative credits
Delivered
Online
Campus Location
- Aberdeen, United Kingdom
Disciplines
Statistics View 23 other Short Courses in Statistics in United KingdomWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Duolingo English Test 120
TOEFL® IBT OR
90
PTE Academic 62
IELTS 6.5
Prepare for Your English Test
Cathoven AI IELTS Preparation AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
The course is delivered at Masters level. At this level, for this course, you’d usually have at least:
- a 2:2 UK honours degree (or equivalent), or
- relevant experience that supports this level of training, and
- formal training in statistics.
Knowledge of statistics required:
- We strongly recommend signing up for this course only if you have solid knowledge and experience of basic statistical concepts and methodologies used for descriptive statistics (eg, mean, standard deviation and other measures on central tendency and dispersion) and statistical inference (eg, standard error, confidence intervals, hypothesis tests such as t-test and ANOVA).
- Knowledge or experience of simple linear regression is preferable but not essential.
- You do not need to provide proof of your qualifications to join this course. You decide if it’s suitable for you.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents1395 GBP / full≈ 1395 GBP / full -
Domestic Applies to you
Applies to youCitizens or residents1395 GBP / full≈ 1395 GBP / full
Funding
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