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FREE SEMINAR – Statistics For Biodiversity And Conservation (SFBC01S)

23rd March 2022 @ 5:00 pm - 5:30 pm

FREE SEMINAR – Statistics For Biodiversity And Conservation (SFBC01S)

Event Date

Registration is now closed, if you would still like to register please send an email to oliverhooker@prstatistics.com and we will try and add you before the seminar start time.

Free seminar

This is a free ~30 minute seminar including a Q and A session at the end for our up-coming course “Statistics for Biodiversity and Conservation”.




Course Instructor Dr. Carl Smith and Dr. Mark Warren

Course description

The way statistics are used in biology, and especially ecology, is changing, with a shift from statistical tests of significance to fitting statistical models to data to explain causation and draw inferences to wider situations. And a new enlightened Bayesian world of statistical inference is also emerging.

An understanding of statistical modelling is no longer a luxury, and it is an expectation that postgraduates and post-doctoral researchers, as well as ecological practitioners possess an understanding of this approach. This change has been unleashed by an explosion in computing power and the advent of powerful and flexible software, such as R, that permits users to wrangle, analyse and visualise their data in novel ways.

This course is aimed at introducing researchers to analysing ecological and environmental data with GLMs using R. Study design will be discussed, as well as data analysis and statistical interpretation. Sessions will be a blend of interactive demonstrations and lectures, where learners will have the opportunity to ask questions throughout. Prior to the course, you will receive R script and datasets and a list of R packages to install.

By the end of the course, participants should be able to:

  • Apply data exploration techniques and avoid the common pitfalls in tackling a data analysis
  • Recognise common problems associated with analysis of ecological data and how to address them
  • Understand and apply alternative approaches to model selection
  • Apply statistical modelling methods to ecological data using GLMs
  • Recognise the distinction between frequentist and Bayesian approaches to model fitting

Dr. Carl Smith
Dr. Carl Smith

Senior Lecturer, Psychology Department, Nottingham Trent University

  • Statistics for biodiversity and conservation (SFBC01)
  • Bayesian GLMs for Ecologists (BGFE01)

Mark Andrews is a Senior Lecturer in the Psychology Department at Nottingham Trent University in Nottingham, England. Mark is a graduate of the National University of Ireland and obtained an MA and PhD from Cornell University in New York. Mark’s research focuses on developing and testing Bayesian models of human cognition, with particular focus on human language processing and human memory. Mark’s research also focuses on general Bayesian data analysis, particularly as applied to data from the social and behavioural sciences. Since 2015, he and his colleague Professor Thom Baguley have been funded by the UK’s ESRC funding body to provide intensive workshops on Bayesian data analysis for researchers in the social sciences.



23rd March 2022
5:00 pm - 5:30 pm
Event Categories:


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