Sentence examples for precise variables from inspiring English sources

At the end of the continuum, there may be more precise variables and predicted relationships.

To make analysis results more reliable, more precise variables of work experience (age) and human capital (education degree is permitted to change with time) are employed, together with controls over organization variables (including company type, unit size, and occupation categories) that may vary with time.

"We still don't know the precise variables behind the formation of particular shapes," Brunnin wrote on his blog, "although researchers are continually working on theoretical equations to predict snowflake shapes".

Both proxies accord with the empirical expectations of (Day et al. 2007) and are rendered essential by the available data, even if the proxies are imperfect: the precise variables that are theoretically interesting are often empirically inaccessible.

Overall there are seventeen direct effects on the outcome variables (which as it happens is identical to the total number of effects found in the multiple regressions reported in Supplementary table 5 of Additional File 1, although the precise variables included are slightly different).

It is easy to control the generated pressure by controlling the calibration gas throughput by means of a precise variable leak valve up to the pressure of approximately 1 Pa when pumped by the TMP.

In both models, a social variable best explained variation in survival, but the precise variable differed between fetuses and infants.

Precise variable definitions and clear reporting of collection methods can assist in identifying these differences to improve interpretation of results.

As a more precise variable, BF% measured by BIA indicated an association between fatness and CRF, while BMI failed to exclude the confounding effect of lean body mass.

307 Preplanned subgroup analyses should be clearly specified in the protocol with respect to the precise baseline variables to be examined, the definition of the subgroup categories (including cut-off boundaries for continuous or ordinal variables), the statistical method to be used, and the hypothesised direction of the subgroup effect based on plausibility.

While theory development is adding new components to a theory and elaborating the measures, testing a theory implies precise measures, variables, and predicted relationships considering time and space (Gilbert and Christensen (2005).