Sentence examples for multivariate regression procedure from inspiring English sources

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To verify the gain achieved when chrominance is employed, the multivariate regression procedure has then been applied to the full reference metric and to the packet loss rate, the average numbers of clustered corrupted blocks, isolated corrupted blocks, and repeated lines extracted from Y, C b, and C r decoded components, thus, obtaining the regression coefficients α c = 1.0419 and β c =-0.0465.

A stepwise backward-elimination multivariate regression procedure failed to find any multilocus models showing association (removal p-value > 0.2) to the CIMT phenotype.

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Data analysis was performed with chi-square tests and multivariate regression procedures.

The statistical analysis will be performed through multivariate regression procedures (using the 'Enter' method) to control the effect of potential confounders and modifiers of the effect.

Multivariate logistic regression procedures incorporated the complex survey sampling design.

Candidate variables with a p-value ≤ 0.2 in the univariate analyses were included in a backward multivariate multinomial logistic regression procedure to evaluate which were independently associated with the treatment strategy adopted by the psychiatrist after first-line failure.

Predictors of TWOC success were also analysed by multivariate regression analysis with stepwise procedure.

Again using data from Wolfradt, et al., I carried out a multivariate regression (using the SPSS GLM procedure).

Independence between commonly used CLL prognostic factors (IGHV mutational status, ZAP-70, CD38 and unfavorable chromosome aberrations, namely del11, del17 and 12+) and sno/scaRNAs signature was assessed using multivariate Cox proportional-hazards regression procedure by the coxph function in the survival R package.

Multivariate regression and stepwise selection procedures were used to narrow the number of predictors.

Serum ADMA, SDMA, and l-arginine concentrations were log transformed, and association with diabetic retinopathy was assessed by a hierarchical multiple regression procedure for multivariate analysis.

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