FIGURE 3.

Relative importance of variables in random effects models (assessed by the χ² test for fixed and random effects) which incorporate (A) individual tests, (B) a dichotomous variable of “any” test, and (C) an integer value of the number of effects among the cohort of patients with mild-admitted and mild-discharged disease severity. χ²: Relative importance of variables in mixed effects logistic regression models, as measured by χ² test statistics. The models include as fixed effects either binary indicators for each test (“individual test” model), a binary variable indicating administration of any test (“any test” model), or the number of tests administered (“number of tests” model). FE, fixed effect; RE, random effect.