Sentence examples for modelling assumptions that from inspiring English sources

Arguably the core weakness of the theory is that its various constraints and assumptions pull in different directions when it comes to constructing realistic decision models, and furthermore, at least one constraint (notably, the Sure Thing Principle) is only plausible under decision modelling assumptions that are supposed to be the output, not the input, of the theory.

We assessed all modelling assumptions that were deemed to be valid.

A key feature of the approach is the assessment of uncertainty in the modelling assumptions that can be used to build user confidence and to guide future development.

26 An estimate, SE and 95% CIs will be produced for the doses associated with each of the different modelling assumptions that achieve the target response rates.

Therefore, when global estimates of cause-specific mortality are made, the data contributed from Africa and Asia are inevitably patchy and outcomes depend heavily on modelling assumptions that create huge uncertainty (2).

In particular, to correct for potential bias from the varying proportions of censored survivors in the different groups, while bearing in mind the issue of ambiguity related to modelling assumptions that Black et al. [ 34] highlight, we used information from non-censored individuals to correct the value of utility assigned to censored observations.

Under the modelling assumption that, in general, a high (versus low) established population results in a late (versus early) menopause, we calculated the percentage of NGF pool at given ages, and the absolute monthly loss of germ cells from birth until age 55.

There is no transfer between the four states representing survival of a cardiovascular event and there is a modelling assumption that the risk of death is not increased by further cardiovascular events.

To our knowledge, however, the modelling assumption that heavier individuals choose larger cars has never been tested empirically, nor has any study examined whether weight status is in fact associated with transport CO2 emissions.

Fitting the hidden Markov model yielded estimates of the rates at which the underlying disease states and the observed states differed, and the rates at which these states regressed, given the modelling assumption that transitions between these states arose from a Markov process and that the 'referable' states did not regress.

As with the development of any new modelling approach, there are several assumptions that have been made and these impose inherent limitations on the model (CRC for Catchment Hydrology,2005).