In the vast landscape of statistical techniques, it can feel like navigating a maze to choose the right method for analysing your data. The journey starts with identifying a promising statistical tool, then delving into applying it— a quest that can require diving into books, scouring the internet, or parsing through help files. This endeavor may be slow and somewhat tedious, but it’s all in the name of progress, provided you didn’t embark on the wrong path from the start. The key to not wandering aimlessly? Consulting with a statistician or a knowledgeable colleague, although not everyone has that luxury.

Imagine if, instead, you could tune into a lively, yet straightforward, live video stream where experts like Dr. Alain F. Zuur and Dr. Elena N. Ieno break down the complexities of statistical techniques into digestible, non-technical terms. Learning about a new statistical method, understanding its foundational concepts, and seeing it applied could streamline your analytical journey significantly.

Periodically, we will offer complimentary live Zoom sessions where we explain the core concepts of specific statistical methods. During these sessions, you are invited to engage via a chatbox, making the daunting task of navigating the statistical maze a little more straightforward and a bit more enjoyable.

Here are the upcoming free live Zoom sessions we have planned. For more details on each session, please refer to the descriptions provided below the form.

Fitting a regression model with spatial correlation using R-INLA

• Due to flu, this seminar has been postponed to Monday 24 February 2025; 14.00-16.00 UK time.
• In this seminar, we will demonstrate the integration of a spatial correlation structure into a linear regression model using R-INLA. Please note that our focus will be strictly on the implementation process. Given the 2-hour time frame, we won't delve into the specifics of INLA itself. Nonetheless, this session will equip you with insights into both the numerical and graphical outputs generated by a regression model that incorporates spatial dependencies. Should you find the application of INLA relevant to your data, we encourage you to further explore INLA.

Zero-inflated GLM and GLMM for the analysis of count data.

• Date and time: Tuesday 22 April 2025; 14.00- 17.00 UK time.
• Outline: We start with a brief revision of the Poisson, negative binomial and Bernoulli distributions. We then discuss how these distributions are used in Poisson, negative binomial and Bernoulli generalised linear models (GLM) and generalised linear mixed-effects models (GLMM). We will use one case study to show how one can decide whether a GLM(M) or generalised additive mixed effects model (GAMM) can cope with a data set that contains an excessive number of zeros.

Multivariate GLM using GLLVM

• Date and time: Tuesday 26 May 2025; 14.00- 16.00 UK time.
• We will explain generalised linear latent variable models (GLLVM). A GLLVM is a GLM (or GLMM) in which multiple response variables are analysed simultaneously, while allowing for dependency between the response variables and also between the observations. 
• We will show a case study.

Seminars that we ran in the past (see 'Access seminar recordings' in the menu on the left):

• Data exploration.
• Analysing proportional data using beta and ordered beta GLM.
• What is a Tweedie GLM?

General information

• Starting April 2024, we will record our seminars and post the videos on our website along with the associated R code and a discussion board for seminar-related questions. For a one-time fee of 25 GBP, you will have unlimited access to these resources for all past, current, and future seminars, as long as we continue to organise these seminars. This fee helps cover our costs, as we incur charges each time a video is viewed.
• All online seminars are non-mathematical presentations.
• We will use Zoom, which has a maximum capacity of 100 participants. In practice, not everyone who registers turns up. Filling in the registration form above means that we will email you the Zoom link one day before the scheduled seminar. However, this does not guarantee entrance to the meeting. Once 100 participants have joined, Zoom will automatically block any further entries. We will start the Zoom meeting at 13:45; please join early to avoid being locked out. If the meeting is full and you cannot attend, please send us an email, and we may schedule an additional session.