Sentence examples for has been correctly specified from inspiring English sources

Exact(3)

Structural equation modeling is based on the assumption that the regression model has been correctly specified.

Second, propensity score methods make it easier to determine whether the model has been correctly specified than with regression approaches.

These include robustness to outliers, sensitivity to risk ordering, independence from censoring (provided the prognostic model has been correctly specified and the PI is approximately normally distributed), and an easily calculated standard error [ 19].

Similar(57)

Although we tried to mimic the formulation of an African-American population in our simulation (assuming only two ancestral populations involved and have been correctly specified), the simulated data was more than likely to be different from the true African-American population.

For example, in a robot controller, the program might specify that the arm is to move to a designated position, and the feedback control system is used to verify that the move has been correctly made.

Figure 2 has been correctly replaced.

He adds: "The Sams have been correctly sold.

As any attempt to extract a causal relationship from observational data, MSM requires certain untestable assumptions: in addition to standard assumptions that the data analytic models (for selection bias and for the causal effect) were correctly specified, we have to assume that the model for selection bias accounts for all potential confounders (there are no unmeasured confounders).

Additional file 1: Figure S1 demonstrates that three approaches are similar when the model is correctly specified, while ANOVA has much smaller -values than permutation tests when the model is misspecified.

If the reaction directionality is correctly specified, and the model has a gap, then D will also accumulate during steady-state operation.

Full cohort analysis and MI provided similar predictive abilities estimates when the imputation model was correctly specified or when the phase-2 variable had no effect on the studied risk.

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