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Preamble: This shortie is my attempt to come up with an example that makes the problem underlying immortal time bias as obvious as possible.
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When psychological researchers investigate binary outcomes,[1]For example, hit vs. miss, correct vs. incorrect, diagnosis vs. no diagnosis, donated vs. didn’t donate, went on a date vs. sorry you’re just not her type. they routinely report odds ratios to…
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Header image: Moderate cross-country slopes (Photo: By Erik W.
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A bug bounty module in grants would give criticism a leg up The Soviet Union was good at producing shoes.
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Romance could be so simple if only we were two-dimensional.
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Just to cause yourself more problems, you seek for something.
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Corrigendum: There was an embarrassing mistake in the SEM part of the original version of this blog post which has now been fixed.
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Correlation may not imply causation, but let’s just ignore that for a second.
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In some fields, researchers who end up with time series of two variables of interest (X and Y) like to analyze (reciprocal) lagged effects between them.
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Mediation analysis has gotten a lot of flak, including classic titles such as “Yes, but what’s the mechanism?