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Introduction to Frequentist and Bayesian mixed (Hierarchical) models (IFBM01)

8th October 2018 - 12th October 2018

£275.00 - £500

Course Overview:

This course will cover introductory mixed or hierarchical modelling (fixed and random effects models) for real-world data sets from both a Frequentist and Bayesian perspective. These methods lie at the forefront of statistics research and are a vital tool in the scientist’s toolbox. The course focuses on introducing concepts and demonstrating good practice in mixed modelling. All methods are demonstrated with data sets which participants can run themselves. Participants will be taught how to fit hierarchical models using both the standard lme4 mixed effects models library in R, together with the Bayesian modelling framework via rstanarm. The course covers the full gamut from simple regression models through to full generalised multivariate mixed structures. The relevant advantages and disadvantages of both the Frequentist and Bayesian approaches will be presented.. Participants are encouraged to bring their own data sets for discussion with the course tutors.

Intended Audience

Research postgraduates, practicing academics and professionals in government and industry.

Venue – PS statistics head office, 53 Morrison Street, Glasgow, G5 8LB – Google map
Availability – 30 places
Duration – 5 days
Contact hours – Approx. 28 hours
ECT’s – Equal to 3 ECT’s
Language – English


• COURSE ONLY – Includes lunch and refreshments.
• ACCOMMODATION PACKAGE (to be purchased in addition to the course only option) – Includes breakfast, lunch, welcome dinner Monday evening, farewell dinner Fridayevening, refreshments and accommodation. Self-catering facilities are available in the accommodation. Accommodation is approximately a 6-minute walk from the PR statistics head office. Accommodation is multiple occupancy (max 3-4 people) single sex en-suite rooms. Arrival Sunday 23rd September (after 5pm) and departure Friday 28th September (accommodation must be vacated by 9am). An additional nights accommodation can be purchased, departure 9am Saturday morning email for details.

Other payment options are available please email oliverhooker@psstatistics.com

Cancellation policy: Cancellations are accepted up to 28 days before the course start date subject to a 25% cancellation fee. Cancellations later than this may be considered, contact oliverhooker@psstatistics.com Failure to attend will result in the full cost of the course being charged. In the unfortunate event that PS statistics must cancel this course due to unforeseen circumstances a full refund for the course will be credited. However PS statistics cannot be held responsible for any travel fees, accommodation or other expenses incurred to you as a result of the cancellation.


Dr. Andrew Parnell


Teaching Format
Course Programme


8th October 2018
12th October 2018
£275.00 - £500


PS statistics head office
53 Morrison Street
Glasgow, Scotland, G5 8LB United Kingdom
+ Google Map