Sentence examples for core predictors of from inspiring English sources

We have identified three core predictors of good governance: 1) the jurisdiction/authority of governance groups; 2) the skills and knowledge of governance groups, as well as their resources and motivation to make and enforce rules; and 3) the power of governance groups to exert legitimate authority and not be undermined by other less legitimate but more politically or economically powerful actors.

For example, Research has reported that the presence of chronic diseases is one of core predictors of SRH [ 25, 26].

In all, enabling factors rather than need factors were the core predictors of frequency of service utilisation by patients with SMD.

This study reveals that health care system organisation and professional practice - rather than patient need profiles - are the core predictors of professional consultation by patients with SMD.

Both service accessibility and longitudinal continuity appear to be core predictors of frequent use of professional health care services, as compared to no or infrequent use in our multinomial regression model.

Only a small proportion of the sample in this study were in paid employment and off work as a result of their back pain and it was therefore not considered one of the core predictors for this sample.

As with TFs and HMs, the power of different core predictors to predict gene expression using only their signals at the TSSs varies significantly, with mappability and IgG control being at the low end, input DNA and GC-content being midrange, and chromatin accessibility having the highest predictive power.

Finally, the plots of Fig.  5f show the comparative trends of the gene expression predicted using the TSS ChIP-seq signals of POL2 (which is directly involved in transcription) and the TSS signal levels of the core predictors.

For the sake of completeness, we also predicted gene expression using our core predictors inside whole gene boundaries instead of just around TSSs.

Ordinal logistic regression was used to examine predictors of core and non-core food introduction, with bootstrapping to test for differences between the core and non-core models.

It showed its capacity to identify a minimum core of predictors generally recognized as essential to pragmatically evaluate the risk of developing morbidity after heart surgery.