A new test and graphical tool to assess the goodness of fit of logistic regression models.
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Are high nurse workload/staffing ratios associated with decreased survival in critically ill patients? A cohort study.Reconsidering lactate as a sepsis risk biomarker.Common intensive care scoring systems do not outperform age and glasgow coma scale score in predicting mid-term mortality in patients with spontaneous intracerebral hemorrhage treated in the intensive care unit.Intensive care medicine in 2050: statistical tools for development of prognostic models (why clinicians should not be ignored).Validation of the ICH score in patients with spontaneous intracerebral haemorrhage admitted to the intensive care unit in Southern SpainDevelopment and validation of a risk-prediction nomogram for patients with ureteral calculi associated with urosepsis: A retrospective analysis
P2860
A new test and graphical tool to assess the goodness of fit of logistic regression models.
description
2015 nî lūn-bûn
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name
A new test and graphical tool ...... of logistic regression models.
@en
type
label
A new test and graphical tool ...... of logistic regression models.
@en
prefLabel
A new test and graphical tool ...... of logistic regression models.
@en
P2860
P50
P356
P1476
A new test and graphical tool to assess the goodness of fit of logistic regression models
@en
P2093
Giovanni Nattino
P2860
P304
P356
10.1002/SIM.6744
P407
P577
2015-10-05T00:00:00Z