E*Value Instructions for Evaluators - hopkinsmedicine 2025

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The E-value is defined as the minimum strength of association, on the risk ratio scale, that an unmeasured confounder would need to have with both the treatment and the outcome to fully explain away a specific treatment-outcome association, conditional on the measured covariates.
A conditional E-value means the expected number of additional false positive domains in the smaller search space of those comparisons that already satisfied the per-profile reporting threshold (and thus must have at least one homologous domain already).
If the value of Ecell is positive, the reaction will occur spontaneously as written. If the value of Ecell is negative, then the reaction is not spontaneous, and it will not occur as written under standard conditions; it will, however, proceed spontaneously in the opposite direction.
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Greater E-values indicate stronger treatment-outcome associations, as unmeasured confounders would have to have correspondingly large risk ratios (RRs) to negate the results. The lowest an E-value can be is one, in which case no unmeasured confounding is necessary to nullify the observed association.
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The lower the E-value, the better the hit. The E-value is dependent on the length of the query sequence and the size of the database. For example, an alignment obtaining an E-value of 0.05 means that there is a 5 in 100 chance of occurring by chance alone.

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