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November 2018
£520.00 - £890.00

Structural Equation Modelling for Ecologists and Evolutionary Biologists (SEMR02)

19th November 2018 - 23rd November 2020
PR statistics Head Office, 53 Morrison Street
Glasgow, G5 8LB United Kingdom

Course Overview: Course Overview: The course is a primer on structural equation modelling (SEM) and confirmatory path analysis, with an emphasis on practical skills and applications to real-world data. Structural equation modelling is a rapidly growing technique in ecology and evolution that unites multiple hypotheses in a single causal network. It provides an intuitive graphical representation of relationships among variables, underpinned by well-described mathematical estimation procedures. Several advances in SEM over the past few years have expanded its utility for…

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January 2019
£275.00 - £510.00

Statistical modelling of time-to-event data using survival analysis: an introduction for animal behaviourists, ecologists and evolutionary biologists (TTED01)

21st January 2019 - 25th January 2019
PS statistics head office, 53 Morrison Street
Glasgow, Scotland, G5 8LB United Kingdom

Course Overview: Survival analysis is a set of statistical methods initially designed to analyse data giving the times at which individuals die, and assess the effect that different predictor variables have on the rate of death. However, its applications are much broader than this: it can be used to analyse any time-to-event data. Ecologists and evolutionary biologists often encounter data of this kind. Often factors influencing survival itself will be of interest. But there are many other cases, e.g. what…

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Advancing in statistical modelling for evolutionary biologists and ecologists using R (ADVR08)

21st January 2019 - 25th January 2021
PR statistics Head Office, 53 Morrison Street
Glasgow, G5 8LB United Kingdom

Course Overview: This course will provide an introduction to working with real-life data typical of those encountered in the field of evolutionary biology and ecology. The course will be delivered by Dr. Luc Bussiere, Dr. Tom Houslay and Dr. Ane Timenes Laugen who are all practicing academics in the field of evolutionary biology.  This five day course will consist of series of modules (each lasting roughly half a day) covering model selection and simplification, generalised linear models, mixed effects models,  and non-linear models. Along…

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February 2019
£220.00 - £460.00

Designing reliable and efficient experiments for social sciences (DRES01)

4th February 2019 - 7th February 2019
PS statistics head office, 53 Morrison Street
Glasgow, Scotland, G5 8LB United Kingdom

Course Overview: This course aims to help you to draw better statistical inferences from empirical research, improve the statistical questions you ask when you collect data, design better and more efficient studies, and improve your meta-analytic thinking. In practical, hands on assignments, you will learn techniques and tools that can be immediately implemented in your own research, such as thinking about the smallest effect size you are interested in, justifying your sample size, evaluate findings in the literature while keeping…

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March 2019

Introduction to statistics and R for everyone (IRFE01)

18th March 2019 - 22nd March 2021
Asteri Village, Chamalevri 741 00,
Crete, Greece

Course Overview: This course will provide attendees with the opportunity to learn how (a) to understand and read modern statistics reported in scientific studies, (b) use basic modern statistics for analysing their own data, using the open access R statistical software. The course will focus more on data deriving from life sciences namely medicine, biology, and ecology. The course will initially revise basic statistical knowledge of what is a sample and a distribution, and what is hypothesis testing. Sequentially, attendees…

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April 2019
£275.00 - £500.00

Introduction to statistical modelling for psychologists in R (IPSY02)

1st April 2019 - 5th April 2019
PS statistics head office, 53 Morrison Street
Glasgow, Scotland, G5 8LB United Kingdom

Course Overview: This course will provide an introduction to working with real-life data typical of those encountered in the field of psychology. The course will be delivered by Dr. Dale Barr and Dr. Luc Bussière, who are practicing academics in the fields of psychology and evolutionary biology respectively, with many years of expertise with R and statistical modelling as both scientists and instructors.  This five-day course will consist of series of modules (each lasting roughly half a day) covering topics including the…

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Machine learning using R (MLUR01)

8th April 2019 - 12th April 2021
PR statistics Head Office, 53 Morrison Street
Glasgow, G5 8LB United Kingdom

Course Overview: This workshop will provide attendees with the opportunity to learn how to use machine learning to analyze data coming from diverse data domains and scientific disciplines and without necessarily prior knowledge of the scientific discipline where the data are coming from. Attendees will learn how to use R and several R packages including classification and regression trees, ensembles and bagging, random forests, neural networks, and boosting (learning from mistakes). These techniques will be used for data classification, determining…

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May 2019
£300.00 - £600.00

An exploration of R for psychologists: from data handling to multilevel modelling (XPLR01)

6th May 2019 - 10th May 2019
Myuna Bay Sport and Recreation, Wangi Road,
Myuna Bay,, New South Wales 2264 Australia

Course Overview: This five-day course workshop aims to provide a hands-on introduction to the statistical software package R, with the aim of enabling interested researchers to transition to using R instead of existing software packages (such as SPSS). R is a very powerful tool that allows you to perform almost any analysis imaginable, easily grapple with the messiest data, and produce beautiful plots and reports. Because using R involves coding (there is no point-and-click interface), it can take some effort…

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Introduction to statistics and R for everyone (IRFE02)

17th May 2019 - 21st May 2021
Myuna Bay Sport and Recreation, Wangi Road,
Myuna Bay,, New South Wales 2264 Australia

Course Overview: This course will provide attendees with the opportunity to learn how (a) to understand and read modern statistics reported in scientific studies, (b) use basic modern statistics for analysing their own data, using the open access R statistical software. The course will focus more on data deriving from life sciences namely medicine, biology, and ecology. The course will initially revise basic statistical knowledge of what is a sample and a distribution, and what is hypothesis testing. Sequentially, attendees…

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October 2019

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

21st October 2019 - 25th October 2021
Asteri Village, Chamalevri 741 00,
Crete, Greece

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),…

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