TWIL: Smoother course material creation using Github templates and pages
A quick summary of how Github templates and pages can be used to make course material creation and sharing smoother.
A quick summary of how Github templates and pages can be used to make course material creation and sharing smoother.
A list of the most useful things I learned this week when making my first presentation using Quarto.
Cool things I learned this week while converting existing course materials for Statistical Thinking from RMarkdown to Quarto.
A blog that turned into a short tutorial explaining why Quarto is my weapon of choice when writing training materials, and how to host those materials for free using Netlify.
Feedback from past Statistical Thinking courses.
My favourite parts of the first ever UKCOTS (UK Conference of Teaching Statistics). Includes things I learned and things I plan to use in my own teaching statistics journey.
Feedback from past Regressions with R courses.
Feedback from previous Introduction to R with Tidyverse courses"
Feedback from the online Inferential Statistics course"
My PhD thesis exploring the (re-)emergence and expansion of dengue in Brazil during the 21st century. Uses a combination of novel and established spatio-temporal modelling techniques to explore the impact of climate and human movement.
A paper developing a novel Bayesian spatial modelling framework that is able to quantify the relative contribution of multiple sources of spatial variation in disease mapping. Simulation studies show the model performed at least as well as the current standard identified in a systematic review.
Modelling study that found geographical borders to dengue outbreaks in South Brazil and the western Amazon are being eroded. Increased odds of dengue outbreaks were associated with an increase in temperature, high urbanisation, and high connectivity to the urban network of Brazil.
A systematic review that identified any spatial model (statistical, mathematical or machine learning) used to explore transmission of modquito-borne disease to humans. Contains a detailed explanation of the model types, approaches used to account for spatial connectivity, and the assumptions authors made about how spatial connectivity arises in these models.
A modelling study to understand the effects of hydrometeorological events (such as drought and extremely wet conditions) and urbanisation on dengue risk in Brazil
A 2-day course introducing the concept of statistical thinking, thinking critically in a data-driven world. Statistical thinking is a necessary skill, not just in work but in our personal lives too, allowing us to sift through conflicting claims to make decisions based on evidence.
A 3-day introduction to thinking and behaving like a Bayesian! Understand the concepts behind Bayesian statistics, carry out statistical analysis using Bayesian approaches in R, and learn to interpret results from a Bayesian perspective
A 2-day introduction to one of the most widely used and powerful tools in quantitative analysis…regression! A comprehensive introduction to generalised linear models with applications in R.
A 3-day course to take your modelling to the next level. Go beyond generalised linear models with their smoother, more flexible cousins, generalised additive models!
A free, self-paced micro-course introducing the two most common inferential statistics, p-values and confidence intervals
A self-paced online introduction to all things statistics! Go from zero to regression via visualisation, summary statistics, and hypothesis testing.
A one-day course introducing the powerful, flexible data visualisation package, ggplot2. Create compelling visualisations that can be used to explore data, generate hypotheses, and communicate results.
A 3-day comprehensive introduction to spatial data, visualisation, and analysis. Unlock the full potential of your analysis and gain a more nuanced, geographically informed understanding of your data.
A 2-day introduction to the wonders of R and Tidyverse. Learn to load, manipulate, explore, and visualise data in R, and create high quality reports using RMarkdown.