Sentence examples for approaches and comparing from inspiring English sources
Further studies directly comparing the two approaches and comparing different patient populations will further enhance our understanding of GEJ and gastric carcinoma.
Sensitivity and specificity were calculated for all text interrogation approaches which involved examining cases flagged as doing a 'Work Activity'/'Other Activity' using each of the techniques within the three broad approaches and comparing these cases to cases coded with a 'Work Activity code'/'Other activity code' using the Activity coded data.
These findings indicate that the use of haploblocks with HD data can reduce the number of explanatory variables in the two models by up to 30%% (D′≥0.25).> The prediction reliabilities for the three traits of interest were compared for both the BLUP and mixture models, using the HD marker data for both the individual SNPs and haploblock approaches and comparing the different D′ thresholds.
We describe both the complete and a simplified approaches, and compare their merits and drawbacks.
We have implemented both approaches and compared their relative performances in different scenarios.
Numerical examples are given to illustrate the effectiveness of proposed approaches and compare the conservativeness of two approaches.
We address the limitation of both approaches and compare them by means of a case study.
Kaplan and Chen (2014) also assessed the predictive performance of both Bayesian model averaging propensity score approaches and compare it to the case without Bayesian model averaging.
Subsequently, we assess the methodological limitations, discuss the results with regard to strengths and weaknesses of the different approaches and compare them to recent REDD policy developments.
We apply our static model with those approaches and compare the performance to the upper bound provided by the dynamic model (which assumes perfect knowledge of the future).
Therefore, in this paper, we apply the CUSUM algorithm to all existing approaches, and compare the performance with that of EHIF which does not need the CUSUM algorithm.
