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Since FIM proposal [ 29], multiple extensions have been proposed, ranging from scalable data mining methodologies to multiple condensed and approximated pattern representations.
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The procedure that we describe here extends this methodology to multiple populations.
Applying a consistent methodology to multiple sites is also advantageous, but one center (Edmonton) had a disproportionately large sample.
Approaches to extend NMA methodology to multiple outcome settings have been proposed in the literature [ 13, 25- 27], initially focusing on mutually exclusive competing risk outcomes [ 13] or a single outcome measured at multiple time points [ 26, 28].
In this work it was used the ones suggested by IPCC, [12], Chapter 2, Generic Methodologies Applicable to Multiple Land-Use Categories (Equation 1).
It was applied the Intergovernmental Panel on Climate Change (IPCC) methodology [12], chapter 11, N2O emissions from managed soils, and CO2 emissions from lime and urea application, chapter 2 Generic methodologies applicable to multiple land-use categories and The First Brazilian Inventory to Mobile Combustion [13].
In this work it was used the ones suggested by IPCC, [ 12], Chapter 2, Generic Methodologies Applicable to Multiple Land-Use Categories (Equation 1).
It was applied the Intergovernmental Panel on Climate Change (IPCC) methodology [ 12], chapter 11, N2O emissions from managed soils, and CO2 emissions from lime and urea application, chapter 2 Generic methodologies applicable to multiple land-use categories and The First Brazilian Inventory to Mobile Combustion [ 13].
Insufficient research has been published on this topic because most methods assume a single threshold, although some of the previously described methodology generalizes to multiple censoring points.
Moreover, the study recruited approximately equal proportions of patients categorised as GOLD B or D. Other strengths include the large sample size, very high compliance with the study medications, and application of statistical hierarchy methodology to avoid multiple comparisons and multiplicity issues.
To facilitate the study of enamel formation mechanism, more facile methodology to purify multiple natural amelogenin isoforms is pursued.
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