Sentence examples for model assumptions but from inspiring English sources

When covariates did not meet model assumptions but were deemed to be relevant to outcome, adjusted multivariable models were fitted, stratified for these covariates (e.g. brand of stem).

Over-dispersed Poisson and NB distributional assumptions demonstrated marked improvements in goodness-of-fit (GOF) over the standard Poisson model assumptions, but with evidence of over-fitting in some genes.

We argue that this result, showing that damped core oscillators are preferred for efficient synchronization, has particular weight, since it in no way is due to model assumptions, but rather emerges from the evaluation of a million randomly selected parameter combinations.

above were obtained in experimental co-cultures, whereas our calibration involved only monocultures, so that the subsequent MCM simulations with the calibrated strains in co-culture yield dynamics that are not part of the model assumptions, but instead is an emergent property of the MCM system.

An interaction means that RRCoCa and RRCoCo are different; ie, that getting D changes the risk of getting O given E. Simply adjusting for D would under such circumstances not only violate regression model assumptions, but also iron out any differential effect of E on O between those getting D and the NC.

A trajectory in a state space is a way of gaining useful information about the target system (via the faithful model assumption), but it is different from trajectories developed by looking at how an actual system's properties change with respect to time.

The regulators had examined and approved the model assumptions in 1996, but then not looked at them.

Although it will never be possible to fully test these models due to the large time and distance scales involved, tests of the model assumptions in scaled down but otherwise realistic conditions will contribute to developing confidence in the predictive power of the models.

These methods are straightforward to perform and do not require any model assumptions to be satisfied, but are unable to detect non-uniform DIF.

Our model allows users to define three key epidemiological parameters (as well as other model assumptions within the program), but data to inform even these three parameters as well as unit costs—are unlikely to be available on sub-national levels.

Based on model assumptions, causation can be inferred, but because of the impossibility of declaring with absolute certainty that there are no additional unmeasured causal variables, these assumptions cannot be guaranteed.