FAVeR Member Events
Approximate Bayesian computation
ZoomThis event is funded by Intellectual Climate Fund La Trobe University About this event Many modern statistical settings feature the analysis of data that may arise from unknown generating processes, or processes for which the generative models are computationally infeasible to interact with. Conventional estimation and inference solution methods in such settings may be unwieldy … Continue reading
Genomic prediction with Bayesian methods
ZoomThis event is funded by Intellectual Climate Fund La Trobe University About this event In genomic prediction a formula that predicts phenotype based on an individual’s genotype at genetic markers is derived. This prediction equation estimates the effect of each genetic marker on the phenotype. These effects are usually assumed to come from a prior … Continue reading
Excel for Researchers
ZoomData rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there's too much of it. Frequently, it has errors. We'll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data. While aimed at … Continue reading
The causes and consequences of non-normal distributions in parasitology
ZoomThis event is funded by Intellectual Climate Fund La Trobe University About this event Most distributions in biology are well described by a normal distribution and Fisher provided a convincing explanation for this. However, this is not the case in parasitology. Usually parasites followed a skewed distribution that is empirically described by a negative binomial … Continue reading
Learn to Program: R
ZoomR is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework. But getting started with R can be challenging, particularly if you've never programmed before. That's where this introductory course comes in. … Continue reading
Data Capture and Surveys with REDCap
ZoomThis course introduces you to REDCap, a rapidly evolving web tool developed by researchers for researchers. About this event Would you like to enable secure and reliable data collection forms and manage online surveys? Would your study benefit from web-based data entry? Research Electronic Data Capture (REDCap) might be for you. This course will introduce … Continue reading
Understanding and analysis of proteomic data
ZoomThis event is funded by Intellectual Climate Fund La Trobe University About this event In almost all living cells, proteins play a central role in majority of cellular functions and their alterations can lead to disease. Proteomics using mass-spectrometry is one of the –omics disciplines routinely utilized to identify, characterize and quantify proteins in complex … Continue reading
Longitudinal Trials with REDCap
ZoomLearn how to run longitudinal data collection, such as surveys with post-intervention and follow-up questionnaires using REDCap About this event REDCap is a powerful and extensible application for managing and running longitiudinal data collection activities. With powerful features such as organising data collections instruments into predefined events, you can shephard your participants through a complex … Continue reading
An introduction to meta-analysis with applications in R
ZoomThis event is funded by Intellectual Climate Fund La Trobe University About this event Meta-analysis is the process of combining the estimates (effects) from several different studies to obtain a single estimated effect. By pooling these effects, we can increase power and explore new research questions. While conducting a meta-analysis in R is not a … Continue reading
Application of Machine Learning in Agriculture and Livestock Production
ZoomThis event is funded by Intellectual Climate Fund La Trobe University About this event Machine learning is the field of study that gives computers the ability to learn from data without being explicitly programmed (Arthur Samuel, AI pioneer, 1959). Today, applications of machine learning are everywhere and are increasingly growing. Machine learning approaches don’t require … Continue reading