Some even have guidelines that prevent being explicit about causal aims and conclusions without an RCT. @_MiguelHernan is good on this.
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Those guidelines are obviously wrong, but considering the quality and design of many non-RCTs in medical journals, it's probably good to avoid any mention of causation! :)
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The authors don’t make any causal claims though... they’re pretty clear they’re only examining an association—An interesting association nevertheless, and argue for further study.
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But then why end with the conclusion that policymakers should think about cracking down on marketing?
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Seems like a sensible recommendation in either case. Whether it’s causal or pharma simply targeting physicians likely to prescribe, this is the most urgent public health crisis in decades. Isn’t a cautious approach better then wait and see?pic.twitter.com/uRUwqYkCru
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Medical & public health journals are the final frontier for causal inference methods using observational data. I'm pretty sure those insights have reached all other disciplines by now.
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Medical journals are odd in many ways beyond this point. Perhaps there could be a causal study looking at how incentives in publishing influence what gets published?
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Not so odd considering clinicians, and not epidemiologists or biostatisticians, run the show.
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I think appropriately, the journals would prefer analyses that present the data, where the fallacy of inferring causality is understood, rather than present analyses where their readers, and peer-reviewers, will not understand the potential shortcomings.
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In part this is a failure of methodologists on both sides to allow a wider scope for their outreach and understanding, and in part a failure caused by stovepiping in academia.
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Don't know if that's true or not but if so, I'd guess the denominator (medical studies) isn't much different?
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Yeah. It seems like J Clin Epi is where you have to go for that kind of stuff - it has clinical implications (so not purely *methods* work) but it’s a little too exotic for medical journals.
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I so agree. -
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Rigorous science gives credibility. Crazy correlation causation stuff gives headlines. They need both.
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They have (re)discovered IV in the form of Mendelian randomization.
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