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ONLINE COURSE – Introduction to mixed models using R and Rstudio (IMMR02) This course will be delivered live

6 August 2020 - 7 August 2020

£275.00

This course will now be delivered live by video link in light of travel restrictions due to the COVID-19 (Coronavirus) outbreak.

This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential.

TIME ZONE – Western European Time +1 – however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind with an additional 1/2 days support after the official course finish date (please email oliverhooker@psstatistics.com for full details or to discuss how we can accommodate you).

Course Overview:

In this two day course, we provide a comprehensive practical and theoretical introduction to multilevel models, also known as hierarchical or mixed effects models. We will focus primarily on multilevel linear models, but also cover multilevel generalized linear models. Likewise, we will also describe Bayesian approaches to multilevel modelling. On Day 1, we will begin by focusing on random effects multilevel models. These models make it clear how multilevel models are in fact models of models. In addition, random effects models serve as a solid basis for understanding mixed effects, i.e. fixed and random effects, models. In this coverage of random effects, we will also cover the important concepts of statistical shrinkage in the estimation of effects, as well as intraclass correlation. We then proceed to cover linear mixed effects models, particularly focusing on varying intercept and/or varying slopes regresssion models. On Day 2, we cover further aspects of linear mixed effects models, including multilevel models for nested and crossed data data, and group level predictor variables. On Day 2, we also cover Bayesian approaches to multilevel levels using the brms R package.

This is one module of a seven module series – you do not need to attend them all but they are designed to complement each other. Please see the links below

“1” June 23rd – 24th Introduction to R for ecologists and evolutionary biologists

ONLINE COURSE – Introduction to R for ecologists and evolutionary biologists (IRFB04) This course will be delivered live

“2”July 23rd – 24th Introduction to generalised linear models using R and Rstudio

ONLINE COURSE – Introduction to generalised linear models using R and Rstudio (IGLM01) This course will be delivered live

“3” August 6th – 7th Introduction to mixed models using R an d Rstudio

ONLINE COURSE – Introduction to mixed models using R and Rstudio (IMMR02) This course will be delivered live

“4” August 20th – 21st Data visualization using GG plot 2 (R and R studio)

ONLINE COURSE – Data visualization using GG plot 2 (R and Rstudio) (DVGG01) This course will be delivered live

“5” September 3rd – 4th Data wrangling using R and Rstudio

ONLINE COURSE – Data wrangling using R and Rstudio (DWRS01) This course will be delivered live

“6” October 1st – 2nd Introduction to Nonlinear Regression using Generalized Additive Models

https://www.psstatistics.com/course/introduction to nonlinear-regression-using-generalized-additive-models-gamr01

“7” Date to be confirmed Introduction to time series analysis using R

 

Intended Audience

This course is aimed at anyone who is interested in advanced statistical modelling generally and multilevel odelling in particular. These methods are practiced widely throughout academic scientific research, as well as widely throughout the public and private sectors.

Venue – Delivered remotely

Time zone – Western European Time +1

Availability – 20 places

Duration – 2 days

Contact hours – Approx. 15 hours

ECT’s – Equal to 2 ECT’s

Language – English

PLEASE READ – 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 a course is cancelled due to unforeseen circumstances a full refund of the course fees (and accommodation fees if booked through PS statistics) will be credited.

Dr. Mark Andrews

Teaching Format
Course Programme

Details

Start:
6 August 2020
End:
7 August 2020
Cost:
£275.00

Venue

Delivered remotely (United Kingdom)
Western European Time, United Kingdom + Google Map