It is easy to get study design wrong and waste a lot of resources on a study design that does not provide reliable results. Modern statistical methods can help increase efficiency. In the early stages of a research project, a power analysis and an efficient search for a good design can help save effort and money later on. Often, funding for the project is not available at the planning stage of a study, but the Thomas Bayes Institute can help at this stage without large investments from your side. Call us to discuss the details!
A lot of enthusiasm and time is invested in an empirical project - be it the next article, the bachelor or master thesis, the data analysis for a dissertation, or any other research project. Of course, you don't want to waste all that effort with simple and outdated frequentist methods, but rather analyze the data with adapted methods, with a Bayesian framework, and, if applicable, with modern AI comparison methods. This is more than just a visit to the institute's methods group. Let's talk about how we can work together!
To provide training to young scientists in your institute, to teach methods specific to your field, to get everyone on the same page regarding the methods needed in your group, and maybe just to have a fun experience together, workshops can be ideal! The Thomas Bayes Institute offers a number of options, give us a call and let's discuss workshop options!
When a research team is working in the same substantive direction, but everyone is using different methods with conflicting scientific assumptions, collaboration can become tedious. Bayesian" is not just another model or method that is useful in one setting and less so in another; it is a fundamental framework that replaces outdated frequentist statistics. If you think your whole group could benefit from getting synchronized in top-notch statistics, give us a call and we will create a plan on how best to make your group "Bayesian"!