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Evaluation of treatment effectiveness against stages of salmon lice using multivariate methods provides a complete assessment of the overall effect of the drug and allows detailed comparisons between treatments.
We will control for this using multivariate methods.
First, we used multivariate statistical methods, including partial least squares and clustering, to examine VEGF/Sema gene expression variability in previously published prostate cancer microarray datasets.
Using multivariate statistical methods, four types were identified.
Using multivariate spectral methods, we find that fractionally integrated processes best describe the long-run temporal dependencies in both series.
Here, we describe a method using multivariate analysis.
Long-term survival was assessed using Kaplan-Meier methods and in-hospital mortality using multivariate logistic regression.
Despite the fact that different multivariate methods have been proposed for GWAS of more than one phenotype, few studies in model species have been conducted using multivariate techniques7,8.
The evaluation used a mixed methods approach.
saplings were analysed using a multivariate method.
We use multivariate time series econometric model to analyse the temporal evaluation of load factor.
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