Sentence examples for measures generated from from inspiring English sources

We used standardized z-comparisons to evaluate whether the measures generated from the disease-specific and disease-generic FSS-7 scales differed significantly from each other, considering the level of precision (standard error) of each individual fatigue interference measure.

Some researchers favor not presenting a SOR in the presence of a large amount of unexplained heterogeneity since summary measures generated from random effects models are not always more conservative than summary measures of fixed effect estimates (Higgins et al. 2003; Higgins and Green 2011).

This introduces a new set of challenges, as the current Barcode of Life Data System (BOLD, www.boldsystems.org [15]) relies on distance measures generated from aligned sequences.

Measures generated from the system could, therefore, be used in the Swedish benchmarking model Open Comparisons.

We then compared the individual measures generated from each disease-specific FSS-7 scale with the original individual measures from the disease-generic FSS-7 scale.

A secondary objective is to compare the quality measures generated from the analytic tool against current AF treatment guidelines [ 12] (e.g., patterns of potential anticoagulant under-treatment) for each payer type.

The purpose of this paper was to evaluate the associations of lean mass and muscle strength with the femoral stress measure generated from the engineering model and to examine the extent to which lean mass and muscle strength account for variation in femoral stress among 2539 healthy older adults participating in the Health ABC study using linear regression.

Risk difference (RD) is often estimated from relative association measures generated by meta-analysis and a particular group's baseline risk.

The fact that these series are diverging so much is particularly surprising given that both measures are generated from the same data source, the monthly wages and salaries survey produced by the ONS.

Baseline measures were generated from the pre-intervention biopsy (PRE) taken prior to beginning the damage protocol.

For each dataset, person measures were generated from an N μCAT, 1.0) distribution, where μCAT = 0.0 or 1.0.