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The combination of WLEF and multivariate modeling has provided a fairly fast and robust method with root mean square error prediction (RMSEP) values less than 1%.
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To our knowledge, this is the first time that such a general spatial multivariate model has been formulated.
Geographic Information Systems GISS) with multivariate models has been used to understand both species-habitat associations and to derive habitat suitability maps (HSM) (Hirzel et al. 2002; Braunisch et al. 2008).
However, once a multivariate model has been built and the most important spectral features identified, experimental time could be easily reduced to around 10 mins per sample further increasing high throughput possibilities.
The test BA of multivariate model has smallest deviation also.
Application of multivariate models has been improved prediction accuracy of FHF outcome.
The multivariate model has as a result of this changed, but remains similar to the authors' original report.
Taking account of patient preference in multivariate models has been attempted in two US studies (Silliman et al, 1997; Mandelblatt et al, 2000).
Next, a full multivariate model has been developed that incorporates all the factors, which have survived from the boosting approach and clinic variables based on their statistical or clinical significance.
Recently, a multivariate model has been developed that takes information from the Nottingham grade, ER and PR immunohistochemistry results, HER2 status, tumor size and Ki67 expression to predict the recurrence score category [ 12].
General multivariate models have appeal when analyzing ecological systems because they have the potential to shed light on the relative importance of multifaceted factors.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com