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The Importance of Day Science in Hypothesis Generation
The best clinician researchers I work with are the ones who sometimes takes them a bit of time to process. And then they turn around and say, ah ha, okay, this makes sense because of this,. That's a lovely sort of moment where you do feel knowledge has kind of progressed - if you know what I mean. So in your experience, if you have 100 data points that do not fit the null model, so something's going on there, how many of those would belong to each of those three categories? Some people skip over this null model thing like is my null model valid? And then once I know my null model is valid for most of the things I'm looking at