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multivariate

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multivariate

The use of multiple variables in a forecasting model.
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References in periodicals archive
These factors all continued to be significant in multivariable analysis.
Rhizomys pruinosus, Mitochondrial genome, Sequence, Multivariable sites, Phylogenetic analysis.
A single multivariable DP instrument can measure gauge or absolute pressure, differential pressure, and temperature, overcoming the problems associated with multiple instruments by reducing pipe intrusions and the opportunities for leaks while facilitating regulatory compliance.
This point is one worth stressing: any putative novel biomarker or imaging test must be proved to offer improvement over a true multivariable model.
Zou [16] applied a step by step optimum new information modeling method to build multivariable nonequidistance information grey model.
Perception of learning environment as "More Positive than Negative" and "Excellent" increased the mean GPA by 0.38 (95% confidence interval: 0.19 - 0.56) compared to "Poor", "Plenty of Problems" on multivariable analysis.
Additionally, the multivariable model was adjusted for parameters thought to be associated with RV mass a priori (age, sex, race/ ethnicity, height, weight, smoking status, pack-years, total cholesterol, HDL, hypertension, systolic blood pressure, fasting glucose, diabetes, and C-reactive protein) and confounders of air pollution exposure (education, income, neighborhood SES index).
A standardized multivariable visual body condition guide may provide a more sensitive and objective assessment tool compared with the previously used single-variable method.
Pressure Transmitter Market by Type (Absolute, Gauge, Differential Pressure, and Multivariable), Application, Fluid Type, Sensing Technology, Communication Protocol, Industry (Oil & Gas, Chemical, Power, and Others) and Geography - Global Trend & Forecast to 2020
These include better multivariable coordination, predictable handling of outside disturbances, improved management of long or complex processes and predictive response to process constraints, all resulting in maximizing equipment performance while safely operating within process limits."
In multivariable analyses controlling for confounding variables, higher night staffing and a higher skill mix were associated with reduced LOS.
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