TinaHashiRN said:The part it does not cover is what to do when the honest answer is "not enough data", which is more often than anyone likes.
Second this.
TinaHashiRN said:The part it does not cover is what to do when the honest answer is "not enough data", which is more often than anyone likes.
Second this.
TinaHashiRN said:The part it does not cover is what to do when the honest answer is "not enough data", which is more often than anyone likes.
Adding the part of the answer the thread has not reached. The gap between trial results and real-world results is consistent and it is not fraud. Trial participants get titration by protocol, scheduled contact, free drug and dietetic support; removing that infrastructure costs a few percentage points every time it has been measured. When your own curve sits below the published mean, that is the likeliest explanation before anything about you or your material.
One concrete data point for the thread. One practical note: write down what you did and when, before you need it. Reconstructing a timeline from memory three months later is how people end up unable to answer the one question that would have resolved it.
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View ResultsOne thing that is still open after TinaHashiRN’s answer:
How to read a result like this without either dismissing it or over-reading it, since the summaries all read like press releases?
DataDave said:One practical note: write down what you did and when, before you need it.
Worth saying that the confident version of this is more useful to the person writing it than to the person reading it.