Sentence examples for multivariate statistical modelling from inspiring English sources

Exact(5)

In our multivariate statistical modelling, we created an indicator variable for missing data and restricted our analysis to non-missing data.

Since the 1960s epidemiology has put forward an often pragmatic multifactorial approach to disease causation, which is dealt with through multivariate statistical modelling.

Another study using multivariate statistical modelling, The Translating Research into Action for Diabetes (TRIAD) study of approximately 9000 patients, examined the association between intensity of disease management by physicians and diabetes process and outcomes measures [ 25].

Exploration of human encephalitis data using advanced multivariate statistical modelling approaches that can capture the inherent complexity in the data is, therefore, crucial in understanding the causes of human encephalitis.

Multivariate statistical modelling of these key EEG factors was used to define an algorithm providing a scaled BIS value (index), which correlated with clinical depth of anaesthesia in volunteers.

Similar(55)

Descriptive statistics and multivariate statistical models were created to determine what factors influenced compliance and public opinions.

It may also help in identifying statistically independent storm events and improve multivariate statistical models of such events.

When each of these factors was incorporated as a continuous variable into a multivariate statistical model, increased proximity and transmitter visibility were each associated with statistically significant increases in interior house average RF power densities (both p < 0.01), whereas elevation was not (p = 0.10).

To tackle this issue, Gilens and Page constructed a multivariate statistical model, which includes three causal variables: the views of Americans in the ninetieth percentile of the income distribution (the rich), the views of Americans in the fiftieth percentile (the middle class), and the opinions of various interest groups, such as business lobbies and trade unions.

Choices are decomposed using discrete multivariate statistical models.

The strategy introduces a novel image segmentation step based on information extracted from multivariate statistical models.

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