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The point-based model using clinical measures may have a useful role in stratifying a population so that those at the highest risk are offered further testing and intervention.
We have shown that PAFR inhibition reduced the risk of NEC in a neonatal animal model using clinical risk factors for NEC (bacterial colonization, intestinal ischemia, and formula feeding) [5].
The initial equation was derived from a model using clinical and demographic variables known to be predictive of CVD events.
a. Logistic regression model using clinical outcome as dependent variable controlling for baseline BPRS or SAI E.
(a) Treatment cost for diabetes-related complications from the UKPDS model using clinical data from the Australian patient sample (b) 95% confidence intervals in parentheses.
Logistic regression model using clinical outcome as dependent variable testing change in BPRS and SAI E (6-12 months) additionally controlling for baseline BPRS and SAI E.
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26 The model uses clinical and outcomes data from randomized clinical trials and societal costs from Singapore cancer centers.
The model uses clinical data from an 8-week flexible dose direct comparison clinical trial between the two drugs; utility values based on a Spanish study; and Portuguese economic data, being the resource consumption obtained via an expert panel.
Another aspect to consider is that the model uses clinical effectiveness data drawn directly from the CAPRA-1 trial which was based in the German and Polish health care settings; however, the economic model is based on the UK NHS perspective.
Further, the model uses clinical data from a 24-month analysis; while it is not anticipated that the rate of failures will change substantially during the following 3 years, for more accurate results, the model could be updated as more patients complete follow-up.
Surprisingly, none of the predictive models using molecular profiles significantly improved over models using clinical variables only.
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model captures clinical
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model using individual
model using frequency-domain
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model using maximum
model using complementary
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model using interpretive
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