Sentence examples for influential samples from inspiring English sources

Two binary logistic regression analyses that compared TE to SE and SE to SY were conducted, and the unusually influential samples were then identified by calculating Cook's distance and standard residuals [ 34].

With the data remaining after excluding the influential samples, individual diagnostic models were developed by multinomial logistic regression (MLR) based on stepwise forward variable selection using the score statistic and Wald's test [ 35, 36].

Sampling interval proved to be a fundamentally influential sampling design property because it affected the number of the selected spatial variables.

Table 6 Ranking of the most influential sample papers Rank Paper LCS Paper LCR 1 Seuring and Müller (2008b) 20 Seuring and Müller (2008b) 10 2 Zhu et al. (2005) 10 Miemczyk et al. (2012) 7 3 Handfield et al. (2002) 8 Beske and Seuring (2014) 6 Koplin et al. (2007) 8 Foerstl et al. (2014) 6 4 Matos and Hall (2007) 7 Govindan et al. (2014a) 5 Nagurney and Toyasaki (2003) 7 Leppelt et al. (2013a) 5.

In 2007, Detroit house and dub techno producer Mike Huckaby released an influential sample CD called My Life With The Wave, featuring 128 AIFF format samples of a synth enthusiast favorite, the Waldorf Wave.

In this respect, our results are similar to a subanalysis of the Diabetes Control and Complications Trial, in which comparisons of A1C and glucose associations were similar between premenopausal women and men (23), suggesting that iron deficiency might not be influential in larger samples, although actually iron measurements were not available in that study.

The pH of the sample proved to be the most influential variable during sample enrichment on the SPE cartridge.

It is noteworthy that consumers and trade associations have a relatively low ranking in the Korean sample, but are strongly influential in the Japanese sample.

Overall, the model predictions were consistent with literature data (r > 0.7, p < 0.05), and were influential in predicting when samples should be collected.

The bootstrap analysis slightly modifies the results of the Pearson and Spearman correlation coefficients by better addressing the effects of influential outliers in the samples taken.

The factor weights, or the loading of each MMP on PC1 and PC2 (Table 2.A) suggest that MMP 2, 8, and 9 were the most influential in separating arthritis samples (both OA and RA) from each other, as well as from normal and early OA synovial fluid samples, while MMP 1, 12, and 13 where the most influential in the vertical separation of RA synovial fluid samples from OA samples.