Sentence examples for causal levels from inspiring English sources

SDH operate at different causal levels such as socioeconomic context, exposure, vulnerability, access to health care, health outcomes and consequences, and can be identified and addressed at those levels [ 2].

Hudson et al. [ 26] prospectively implanted dynamic rod systems at the most cephalic level of lumbar degeneration as a preventative reinforcement on the transitional zone in a clinical study, with fusion performed at the causal levels a of degenerative lumbar spine.

Unfortunately he cannot yet say why Tweets predict crime on a causal level but it seems to be working and he's working with police departments in Chicago and New York City to help build out the system.

This is in line with our previous findings, which now can be explained on the causal level of protein signalling.

However, even in cases where complex interactions among alleles hold at the causal level, a large proportion of interindividual differences in genetic risk may manifest as additive variance (Hill et al. 2008), and the information provided by data for estimation of nonadditive effects may be small (Hill et al. 2008).

In order to identify the link between the columnar-specific Gypsy-44 insertion and the columnar growth habit (most likely corresponding to the first, causal level of differential gene expression) we performed detailed expression analyses of all genes in the vicinity of the Gypsy-44 insertion.

It is important to note that β and μ are obtained from fitting the model to population-level data, with no clear association to the causal individual-level processes.

Each of the topics Rose and Oakley discuss in detail drives home the same point: we start out thinking that what seems to be a common biological pattern should have a common causal process-level explanation, and wind up discovering a variety of processes, undermining the reality of pattern.

In the following we will discuss the consequences of variation and bias in relation to monitoring of animal disease incidence on herd and national level, causal analysis on national level, as well as estimation of validated treatment criteria.

This "aggregative thinking", as Lewens calls it, does not appeal to population-level causal processes, but explains population-level results purely through individual-level processes.

We first demonstrate the theoretical feasibility of estimating source level causal interactions after projection of the sensor-level model coefficients onto the locations of the neural sources.