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model or method that is useful in one setting and less so in another; it is a fundamental framework that replaces outdated frequentist statistics.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"!
Each research project needs its own analysis model, but the estimation of parameters in this model is always done in a Bayesian way in modern statistics. If a research group, lab, or institute consistently applies the same framework, not only will the results be better, but collaboration and synergies within the group will be easier to exploit, avoiding a situation where everyone works on their project separately because even the interpretation of the statistics is difficult to explain to colleagues. A consistent Bayesian framework not only increases the chances of publication and funding, makes it easier to detect existing effects, and promotes open science by avoiding drawer effects - it is actually the simpler concept compared to classical frequentism. This is important because not every member of the group comes with the same statistical training, and not everyone has the time to study modern Bayesian statistics on their own at the same time.
The Thomas Bayes Institute can act as an outside source to help you make a synchronous transition so that the members of your group can best help each other. We organize workshops that are adapted to the methods your group needs for your subject area and that connect to the statistical expertise your group currently has, whether it is minimal or strong. In fact, it is easy to move from frequentist to Bayesian frameworks, since the models remain the same. If there are statistical experts in your institute, we also offer workshops for experts who have relied more on a frequentist framework in the past. For a period of two to three years, we will assist you with upcoming analyses in your projects until Bayesian methods become the norm and are comfortable for the members of your group.
If you are thinking about switching to Bayesian methods, but have not had the time to make the change, give us a call; together we can make data analysis in your group consistent and Bayesian without overburdening your own schedule!