Please post your tag synonym suggestions as new answers in this thread, one answer per suggestion. Upvote answers where you believe that the suggested tags should be made synonyms, and downvote answers where you believe the tags should remain separate. Well upvoted suggestions will be eventually implemented by the moderators (and then the corresponding answers will be deleted).
non-independent usage guidance (there is no wiki entry):
Data, events, processes, etc, are non-independent if knowledge of 1 provides some information about the state or value of the other.
independence usage guidance (more info at wiki entry):
Events (or random variables) are independent when information on some of them tells you nothing about the probability of occurrence (/ distribution) of the others. Please DO NOT use this tag for independent variable use [predictor] instead.
These are literal opposites and I don't see any need for them both to exist.
Not sure, but perhaps:
I suppose one can have a model with only random effects and no fixed effects, which would make it different from a mixed model, though I don't think the conceptual distinction is so large that it would merit a separate tag. And I think all the questions I've seen with this tag are about using random effects in mixed models.
Pooling, eg for variance, is used when several groups or populations are assumed to have a common property (a common parameter value) and the information from all the groups or populations are used together to estimate that common property.
I think this usage guidance is broad enough to cover pooled-model as well.
There seems to be a fair bit of overlap between:
And the usage of hypothesis-testing (9591) overlaps a fair bit as well, though in principle it does differ more.
Is there a case for merging the first two? And perhaps editing the tag info for the third to make a distinction?