[R-sig-ME] PARTFUNDED SCHOLARHPS - Introduction to Frequentist and Bayesian mixed (Hierarchical) models"

[Oliver Hooker]

PARTFUNDED SCHOLARHPS for the course "Introduction to Frequentist and
Bayesian mixed (Hierarchical) models (IFBM01)"

This course will run from the 8th - 12th October 2018 in Glasgow City
Centre, Scotland, UK

www.psstatistics.com/course/introduction-to-frequentis-and-bayesian-mixed-models-ifbm01/

PS STATISTICS ARE PLEASED TO ANNOUNCE THAT THROUGH THEIR FUNDING SCHEME
THEY ARE ABLE TO OFFER PART-FUNDED SCHOLARSHIPS FOR THREE UP-COMING 
COURSES


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

As well as…

2)    Time series models for ecologists (TSME02)
https://www.prstatistics.com/course/time-series-models-for-ecologists-tsme02/

3)    Applied Bayesian modelling for ecologists and epidemiologists
(ABME04)
https://www.prstatistics.com/course/applied-bayesian-modelling-for-ecologists-and-epidemiologists-abme04/


SCHOLARSHIPS FOR IFBM01 CONTRIBUTE TOWARDS COURSE AND ACCOMMODATION FEES
WITH ALL INCLUSIVE PLACES (accommodation and meals included) AVAILABLE 
AT
£475.00 (Fees have been subsidised by 40% from £775.00).


Applications should be sent to oliverhooker using psstatistics.com and contain

the following.

1.              Full name

2.              Institute name

3.              PhD subject title or Post doc research questions

4.              Do you hold a funded position

5.              150 words why this course would be relevant to your
research or how it would help.

Application deadline is Thursday 13th September and decisions will be 
made
by Friday 14th September 2018.

We still have ‘normal’ places available for anyone else interested.

Full course details are given below

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

https://www.psstatistics.com/course/introduction-to-frequentis-and-bayesian-mixed-models-ifbm01/

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.

Oliver Hooker PhD.
PS statistics

2018 publications -

Alternative routes to piscivory: Contrasting growth trajectories in 
brown
trout (Salmo trutta) ecotypes exhibiting contrasting life history
strategies. Ecology of Freshwater Fish. DOI to follow

Phenotypic and resource use partitioning amongst sympatric lacustrine 
brown
trout, Salmo trutta. Biological Journal of the Linnean Society. DOI
10.1093/biolinnean/bly032

6 Hope Park Crescent
Edinburgh
EH8 9NA

+44 (0) 7966500340