Sentence examples for using variables that are from inspiring English sources

The strong correlations among soil C concentrations, contents, and elevation (mediated through effects on soil mineralogy) indicate that it is possible to predict soil C in this landscape using variables that are easily mapped in a geographic information system.

In particular, it is preferable to simply using variables that are assumed to be highly correlated with marginal tax rates, such as statutory tax rates, dummies which indicate whether a firm is reporting losses or trichotomous variables, such as those used in Byoun (2008) or Gropp (2002).

This was a cohort single-center observational study using variables that are collected daily and are readily available at the bedside with the aim of predicting infection.

We attempted to deal with this issue by using variables that are drawn from a long period that includes as much of the 1980 2000 period - when most countries experienced their most rapid increases in HIV prevalence [ 27].

In collaboration with several community-based prospective studies we were able to develop a prediction model for atrial fibrillation, only using variables that are routinely collected in primary care settings [ 44].

The purpose of this study was to identify independent factors that can be used to predict whether febrile neutropenic patients who appear healthy at presentation will develop subsequent complications, using variables that are readily available in the emergency department (ED).

First, a propensity score was created using variables that were independently associated with receipt of nafcillin or cefazolin versus vancomycin.

When looking at the results using variables that were categorized into quartiles, some non-linear associations were observed.

Multivariate conditional logistic regression models were constructed using variables that were significant in the composite univariate analyses.

Multivariate logistic regression modeling for in-hospital mortality was performed using variables that were significant in univariate analyses and are summarized in Table 3.

Multivariate proportional hazards models were built to assess the effect of different states of HIV viraemia on progression to significant liver fibrosis (APRI ≥ 1.5) using variables that were determined a priori to be clinically important.