Sentence examples for use of statistical regression from inspiring English sources

GWR is a local regression model that could reconcile the use of statistical regression models with GIS (Fotheringham et al. 1998, 2003).

Through the use of statistical regression, potential baseline differences in QALYs can be adjusted for [ 58].

In the field of medical data processing, the theoretical basis for the use of statistical regression methods is the "law of large numbers".

In order to overcome the limits of matching design, the use of statistical regression analysis was proposed, wherein the impact of each single variable onto total costs was analyzed with other variables being equal.

We assess this formally through the use of statistical regression models which describe the evolutionary rate of one protein as a function of the rate of its interacting partner, as well as of its expression level, number of interactions, function, process and cell compartment.

This paper provides an overview of the state of the art of statistical regression methods used to investigate risk factors of CKD outcomes.

Moreover, the software SPSS was used for the calculation of statistical regressions.

It underpins much of the social sciences — witness the prevalent use of statistical testing, confidence intervals, regression methods, and so on.

Second is the use of statistical techniques, including multiple regression analyses that we have applied to our own data and those previously published in the literature, using the Box-Cox transformation to identify optimal transformations to normality.

As von Bertalanffy curve parameters k and L∞ are known to be strongly and negatively correlated (Charnov 1993), inheritance of the parameters was done by first assigning an individual a value of L∞ based on its genotype and then generating the value of k using a statistical regression for k with L∞ as an explanatory variable, and by adding random variation to the value of k predicted by the model.

The most straightforward statistical procedure for this purpose is to regress the outcome-based composite on the theoretical set of facets, using statistical regression (also referred to as the stepwise method) to remove facets, although starting with all hypothetical facets at the initial step.