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Examples
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Using hierarchical logistic-regression models for each condition, we estimated the change in the odds of death within 30 days associated with an increase of 100 patients in the annual hospital volume.
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Using hierarchical logistic-regression models for each condition, we estimated the change in the odds of death within 30 days associated with an increase of 100 patients in the annual hospital volume.
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Using hierarchical logistic-regression models for each condition, we estimated the change in the odds of death within 30 days associated with an increase of 100 patients in the annual hospital volume.
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Using hierarchical logistic-regression models for each condition, we estimated the change in the odds of death within 30 days associated with an increase of 100 patients in the annual hospital volume.
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Obesity and recovery from lymphopenia after five days were factors associated with death, as determined by multivariate logistic-regression analysis (obesity, odds ratio = 23.06; lymphocytopenia reversion, odds ration = 28.69).
BioMed Central - Latest articles Wei Cui 2010
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A multivariate logistic-regression analysis was performed to assess factors associated with a good neurologic outcome.
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A multivariate logistic-regression analysis was performed to assess factors associated with a good neurologic outcome.
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Using hierarchical logistic-regression models for each condition, we estimated the change in the odds of death within 30 days associated with an increase of 100 patients in the annual hospital volume.
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A multivariate logistic-regression analysis was performed to assess factors associated with a good neurologic outcome.
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A multivariate logistic-regression analysis was performed to assess factors associated with a good neurologic outcome.
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