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A complete guide to mixed models (including temporal and spatial autocorrelation) MMTS01

21st October 2019 - 25th October 2021

Course Overview:

This course will cover advanced statistics regarding the analysis of data using comprehensive and state-of-the-art techniques. All methods will be illustrated using the free, open-source software package R. The course is designed for attendees that have a basic knowledge of R and elementary statistics and wish to advance this to up-to-date journal publication or conference proceedings standards. The course will cover mixed effects models, model selection and multi-model inference, generalized linear models (i.e. analysis of non-normally distributed datasets), random and fixed effects, variance nesting and accounting for the spatial and temporal autocorrelation in the analysis. Participants will gain a deeper understanding of the models being fitted, and be able interpret the results appropriately as well as produce quality graphs. Participants are encouraged to bring their own data sets for applying the techniques taught as well as potential discussion with the course tutor.

To find out more email oliverhooker@prstatistics.com or to book online via our sister company (PR statistics) use the link below…

A complete guide to mixed models (including temporal and spatial autocorrelation) MMTS01

 

Teaching Format
Course Programme

Details

Start:
21st October 2019
End:
25th October 2021

Venue

Asteri Village
Chamalevri 741 00,
Crete, Greece
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