Making use of historical data – Introduction to Bayesian methods for sensory and consumer scientists , 5th June 8am (GMT+1/BST)
Product code: R-Bayes
June 5, 2020
Virtual option available
The remote learning package consists of a live lecture delivered online by one of the Qi Statistics team, together with free access to the Qi Bayesian analysis app for you to play with for 2 weeks, plus a pdf of the lecture notes and email support on the course materials and software after the course for up to 2 weeks. More than just a recorded webinar and as close to face-to-face training as it can be!
Bayesian statistical analysis has been successfully used in other industries for many years now, yet is rarely seen in the Sensory and Consumer world. This technique offers an approach to formally combine historical data with current data to see results of trials put into context with past research rather than treating each trial in isolation and then making subjective interpretations.
Additionally, benefits can be seen in both reduction of sample sizes and increased ability to make robust decisions with a move away from reliance on the contentious ‘p-value’.
In this session, we give you the understanding to the key concepts of these analysis methods,
- Introduction to Bayesian ideas & what they can offer
- What do you need to know about Priors & Posteriors?
- Bayesian as a tool for decision-making
- Advantages/Disadvantages compared to classical approaches
- From theory to practice…the next steps
A knowledge of basic statistical methods (e.g. probability distributions, summary measures, variability, confidence intervals). No software is required. The web-based Qi Bayesian app for preference tests will be demonstrated and supplied as a 2 week free licence. There are no workshops for this course, due to it’s introductory nature.
Length of Session:
Approx 45mins – please check the timing of the session in your local area – it is being offered twice to work around time zone issues
$146.47 – $163.47 (Excluding any applicable taxes)