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Chunk #9 — Models for non-interactive joint effects

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Less is more, except when less is less: Studying joint effects.
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Even under the simple log-odds formulation, detection of interactions tends to be statistically challenging, and a rule of thumb has been that the sample size required is about four-fold what would be needed to detect a main effect of similar magnitude. Thus, a doubling of a relative risk from one stratum to another is about 4 times as hard to detect as a twofold relative risk.