This comprehensive seminar provides an in-depth exploration into mediation and moderation using the Actor-Partner Interdependence Model (APIM) and Common Fate Model (CFM) for analyzing dyadic data, essential for researchers studying interdependencies in relationships. Participants will gain the...

Machine Learning (ML) is a new way to program computers to solve real world problems. It has gained popularity over the last few years by achieving tremendous success in tasks that we believed only humans could solve, from recognising images to self-driving cars. In this course, we will explore...

This three-day seminar introduces technical and creative aspects of academic writing with LaTeX. Leveraging AI and LaTeX's clear structure, participants will develop an efficient publication workflow—from drafting and literature review to creating tables, figures, equations, revising, and...

This four-day seminar provides an intensive exploration of Stable Isotope Mixing Models (SIMMs), equipping participants with practical skills for analyzing ecological data using advanced R tools like SIBER, simmr, and MixSIAR. The workshop covers Bayesian modeling techniques, guiding researchers...

The focus of this course is on learning advanced statistical methods using R.

This course is intended for those who have basic knowledge and experience with R, and would like to further advance or develop their experiences with advanced statistical methods in R. The course would also be...

This document presents a theoretical framework for the use of clinical trials and other health data for secondary research purposes, which was derived from research papers, consultation with stakeholders and the research community.  
Four overall scenarios for data reuse were identified; scenario...

A collection of training events and materials that relate to using R to provide training and background on helping me make my research reproducible.