Sentence examples for evaluate the discrepancy between from inspiring English sources

Different statistics can be used to evaluate the discrepancy between the data and the model predictions.

To evaluate the discrepancy between MICRO CARD FISH and clone libraries, SAR11 and Roseobacter probes were matched against the 16S rDNA clone sequences.

The purpose of this study was to evaluate the discrepancy between current asthma management and recommended guidelines using the provincial administrative databases and an ADSS.

The objective of this study was to evaluate the discrepancy between actual asthma treatments prescribed by primary care physicians compared to those recommended by evidence-based guidelines using a decision support tool linked to a provincial health administrative database.

To evaluate the discrepancy between patient and physician in assessment of global severity in early rheumatoid arthritis (RA) and to explore factors affecting the discrepancy at 1-year since the diagnosis of RA.

Calibration of the logistic model was assessed using the Hosmer Lemeshow goodness of fit test to evaluate the discrepancy between observed and expected results of hand and finger discomfort.

To test the hypothesis that the seismicity in each of the subareas is stationary Poissonian associated with time, we quantitatively evaluate the discrepancies between the observed frequency distribution and the expected Poissonian distribution by the ×2-test (e.g., Gardner and Knopoff, 1974; Wyss and Toya, 2000).

To further evaluate the discrepancies between the different partitions we performed a more parametric phylogenetic approach, Bayesian phylogenetic analysis, using the MKV model [ 42] as implemented in MrBayes v2.2 [ 43], and an extending encoding of the CNs.

To evaluate the discrepancies between primary tumour and paired distant metastatic lesions, we applied Cohen's kappa test, one of the most used and solid tests for this type of work.

A generic strategy for parameter estimation in CKEs systems is to minimize a cost function evaluating the discrepancy between model predictions and experimental data.

14 15 The RMSEA is a population-based index that assesses the extent to which a model fits reasonably well in the population by evaluating the discrepancy between the hypothesised model, with optimally chosen parameter estimates, and the population covariance matrix.