Yet causal models
have to be tested for the analyses to provide actionable insights to improve performance.
In short, replacing the inaccurate assumptions and causal models
underlying the war on drugs with better alternatives points to a different way of understanding drug use and abuse and to different drug policy options.
This section contrasts a causal model
in the adoption of downsizing practices carried out by Spanish companies from 1994 to 2000.
15) Though the direct effect of the increasing percentage side-loaders is to increase the net cost per tonne, in the causal model
there are paths flowing from the percentage side-loader variable that decrease the net cost per tonne.
Arguably, Stone's portrayal of the function of causal models
in policy politics is reflected in policy documents about child unintentional-injury prevention.
The same causal model
applied to the whole sample and the split samples of students born in Hong Kong and on the mainland.
Table 4 lists the structural parameters of the causal model
TABLE 12 Total Standardised Effects Ranked From Largest to Smallest for the Recycling Causal Model
Which Predicts Net Cost Per Tonne variable Variable Total Direct Plus Indirect Effects Residents are required to set out full bins only -.
We have motivated this discussion of desistance with the Rubin/Holland causal model
to highlight the extraordinary barriers to causal inference in etiological investigations.
Both time series and causal models
use analytical procedures to determine underlying patterns, and thus, their validity rests on the assumption that the future will continue to behave like the past.
Based on the atmospheric chemistry of ozone, Figure 1B is the more appropriate causal model
Arguing that Bayesian models can have direct neural implementations, David Huber, in 'Causality and Time: Explaining Away the Future and the Past', relies on rational analysis and graph theory to construct a causal model
which explains priming and provides insight into perception and inference over time.