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We evaluated predictive factors of increased IL-6, CRP levels using a multivariate lineal regression model on log-transformed data.
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saplings were analysed using a multivariate method.
4) Statistical classification using a multivariate Gaussian classifier.
Independent risk factors were analysed using a multivariate logistic regression.
Extraction conditions were optimized using a multivariate approach.
A very recent development is multivariate MPS in which an ensemble of variables can be simulated simultaneously using a multivariate TI.
Data were analyzed using a multivariate analysis of variance (MANOVA).
Multivariate survival analysis was conducted using a multivariate Cox regression model.
Crude scoring in MMSE which already is corrected by age and schooling time was adjusted for confounders by means of a multivariate lineal regression model.
The data were analyzed using a general lineal model with the Statistical Parametric Mapping (SPM) software package [46].
The probability of cows cycling at Day 30, 45, 60, 90 and 120 was analyzed using a generalized lineal model (PROC GENMOD) with a binomial distribution and an exchangeable covariance structure specified.
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