What's your biggest methods fallacy weak spot? - mentally I tend to translate absence of evidence in evidence of absence - with measurement error it feels like all effects are underestimated - I tend to interpret all coefficients in multivariable models as causal-ish risk factors
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I want to say table 2 for the same reason but the endless loop that absence of evidence is is really a bottomless pit
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only for frequentists
End of conversation
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