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This course aims to provide solid foundations to implementing linear regression, three types of Generalised Linear Models, and hierarchical models.

COURSE DETAILS

The course consists of a three hour class, 09.00 - 12.00, every Tuesday of Hilary Term 2023.

The course will enable the analysis of continuous, binary, ordinal, count outcomes, mixed effect setups, and longitudinal data analysis.


Pre-requisites for attending the course:

  • Basic Inference.
  • Hypothesis testing.
  • Basic linear regression.
  • Basic graphics.
  • Interpretation of modelling outputs.

LEARNING OUTCOMES

By the end of this course participants will:

  • Be able to model continuous outcomes by means of linear progression.

  • Be able to assess fit and usability through checking assumptions.

  • Be able to present results and to accurately interpret model summaries.

  • Have developed an understanding of the Generalised Linear Model framework.

  • Be able to model binary outcomes by means of a Logistic regression.

  • Be able to assess fit and usability through checking assumptions.

  • Be able to present results and to accurately interpret model summaries.

INTENDED FOR

DPhil students and research staff with prior knowledge of statistical tools and approaches, and who need them for their research.

NUMBER OF PLACES

30

COURSE LEADER

Dr Maria Christodoulou & Oxford University Statistical Consulting (OxUSC)

TIME / Date

09.00 - 12.00 | 16th January 2024

09.00 - 12.00 | 23rd January 2024

09.00 - 12.00 | 30th January 2024

09.00 - 12.00 | 6th February 2024

09.00 - 12.00 | 13th February 2024

09.00 - 12.00 | 20th February 2024

09.00 - 12.00 | 27th February 2024

09.00 - 12.00 | 5th March 2024

BOOKING INFORMATION

Booking for this course will open at the beginning of Hilary term.

TERMS & CONDITIONS

When registering for this course, please check our Terms and Conditions.

RDF SKILLS 

A1, A2

The Researcher Development Framework (RDF) provides a framework for planning and supporting the personal, professional and career development of graduate students and research staff. See the the following for more details:

The Researcher Development Framework page

The Researcher Training Tool (click on Researcher Development)

Vitae (Vitae is a national organisation dedicated to realising the potential of researchers through supporting their professional and career development.)