2 Departmental survey about statistical methods
I used an anonymous survey to ask colleagues some questions about which topics may be more interesting or useful in their research.
2.1 March 2022
2.1.1 Question 1
In the first question people indicated topics of interests. The winner are multilevel models, followed closely by Bayesian statistics.
There were some additional suggestions.
#>  "power analyses using Shiny apps" #>  "agent-based models" #>  "this may be covered in the above, but approaches to analysing experience sampling method" #>  "Methods for longitudinal analyses" #>  "Network modelling" #>  "Neural networks, Markov processes" #>  "Random forests and related" #>  "causal modelling using regression models - path models etc" #>  "prediction modelling"
A few other topics were mentioned in the comment section:
- Shiny apps
- Network modelling
- Longitudinal analyses
- Random forests
- Neural network
2.1.2 Question 2
Here people indicated their interest for topics related to data analysis.
Other things mentioned in the comments were: