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For example, we have assumed that if in the modelling increasing the coverage of one PMTCT component, all other components would be constant.
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However, this type of modelling increases the complexity.
In the Rayleigh fading model, increasing the training length improves the normalized TMSE of the estimators.
For a given model, increasing the ductility decreases the RD resulted by NSP.
Furthermore, because the ERM approach cannot control the complexity of the regression model, increasing the window size increases the VC-dimension of the prediction model.
But it is straightforward to incorporate composite interval mapping [14], [15] into the model, increasing the mapping resolution of linked QTL on the same chromosome.
In the current model, increasing the mutation rate certainly increases the rate of deleterious mutation.
In our model, increasing the strength of selection intensity (decreasing V value) led to an increased probability of speciation.
In this model, increasing the size of the varix and decreasing the thickness of the variceal wall caused variceal rupture.
Confounding factors and diseases associated with increased mortality risk were sequentially included in the models, increasing the strength of the association between metabolic syndrome and all-cause mortality.
Confounding and cardiovascular risk factors were sequentially included in the models, increasing the strength of the association between metabolic syndrome and cardiovascular mortality.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com