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Secondary analysis will comprise of multivariable logistic regression modelling to predict the effect of demographic and patient characteristics on missed opportunities.
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Researchers at the National Center for Atmospheric Research used a computer model to predict the effect of a future "grand solar minimum" on Earth's climate from 2020 to 2070.
The researchers used 19 different climate models to predict the effects of a 2C increase in global average temperatures, and found that by 2030 around 70% of the reefs would suffer what they politely call "long-term degradation".
Last January, Dr. Reuben Granich and colleagues at the World Health Organization published a provocative study using mathematical models to predict the effects of universal testing and immediate treatment on a severe H.I.V. epidemic among heterosexuals.
Finally, we use the model to predict the effects of changes in the topology of the underlying protein-interaction network.
Researchers led by Dr Christian Hof, from the University of Copenhagen, used computer modelling to predict the impact of climate change, the effect of habitat loss from urbanisation and farming and, finally, the fungal disease on amphibian populations.
Animal models are used to predict the effect of an intervention in humans.
In contrast, a predictive model is one able to predict the effect of a treatment on patient prognosis [ 67, 68].
A numerical model has been developed to predict the effect of corrosion on the mechanical properties of metallic bioabsorbable stents.
The model still will be useful to predict the effect of the ferry on regional traffic flows, he said.
The researchers developed a mathematical model, known as the Hegsted equation, to predict the effect of fats consumed in food on an individual's serum cholesterol.
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