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To gauge the predictors of patient care and educational aspects of rounds, we performed multivariable regression analysis using a generalized estimating equation (GEE) methodology for two outcome variables: bedside minutes per patient and education minutes.
Separate HLM models were computed for two outcome variables (CGI-I and LSAS).
The multiple linear regression model using the backward method for two outcome variables.
All six studies were analyzed for two outcome measures: physician-diagnosed asthma and parent-reported wheeze.
Polytomous logistic regression was used as a feasible means of calculating odds ratios for two outcome groups in comparison to a group without the outcome.
Four studies [ 14, 18, 20, 24] investigated the clinical usefulness of NSE and/or S-100B as a prognostic predictor for two outcome groups, 'dead' and 'alive'alive
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Significant differences to the advantage of the intervention group were reported for four outcomes where we rated our confidence in the effect estimates as moderate for two outcomes [ 20, 21] and as low for two outcomes [ 19, 22].
The lack of consensus resulted from disagreement about whether there was sparse data for three outcomes and because of insufficient information for two outcomes.
The harvest plots for the two chosen overviews displayed six intervention comparisons for two outcomes (Figs. 1 and 2).
In White British infants across the three charts, using the 5th/95th centiles only provided significantly improved prediction (over the 10th/90th) for two outcomes, with the 10th/90th providing significantly better prediction for three outcomes (the 3rd/97th centiles provided improved prediction for none).
The CCT Pilot Programme, as observed in its early stages, generates positive results in the regression analysis for two outcomes.
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