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Useful interactive! But I'd say it's not clear you'd want to adjust for these if looking at the causal effect of income... presumably they are at least partially affected by income.

Amazingly pedagogical ("pedagogiskt", säger man så på engelska?) Thank you for this one! Although I wouldn't push the reasoning too far. In some contexts something like "within-strata association" is a fine descriptive research question, right?

Thank you for this great blog! I think "descriptive" means giving average measures or distributions of an outcome in one group. If you compare groups (defined by an exposure) in terms of an outcome it's analytical regardless of the method, adjusted or not. Maybe that's a bit extreme. Unsure!

1/2 Good job spreading the word. I find it really difficult, almost impossible, to justify using conditional estimates for purely descriptive goals without using the notion of counterfactual dependence, which arguably changes the goal from description to CI.

2/2 Even in the example from your text (adjusting for age difference for comparasion of between-group morbidity) there is some what-if idea behind. But maybe I lack creativity.

I wish I'd had access to this blog post the last time I wrote a review! Would have definitely linked it to the authors who wanted to test associational hypotheses using heavily adjusted regressions.